FID. Vol. 21 No. 4 Dec Chinese Journal of Magnetic Resonance (NMR) Gabor, NMR ( FID) NMR FID. Gabor. Gabor. , Gabor , NMR FID.
|
|
- Theodora Spencer
- 7 years ago
- Views:
Transcription
1 Chinese Journal of Magnetic Resonance Vol 21 No 4 Dec 2004 : (2004) Gabor FID 1 3 2, (1, ; 2, ) : Gabor, (NMR FID) NMR FID, NMR FID,, NMR FID, Gabor Gabor NMR FID,,,, Gabor : NMR FID, Gabor, : O : A (NMR) NMR ( FID), NMR FID NMR, NMR FID,, [ 1 ] Gabor ( ), [1 4 ] : ; : : ( [ 2002 ]40 ) ; ( ) ; (2001kj020zd) ; : (19632),,,,,, : , , E2mail edu 3
2 Gabor NMR FID, NMR FID, NMR FID ( ), ( Gabor ), NMR FID,,, Gabor ( ), Gabor ( NMR FID ),, Gabor ( Gabor ) NMR FID, NMR FID, [1 ] NMR FID, Gabor, Gabor ;, [1 ],, ( ), Gabor,,, [5, ], Gabor, ( Gauss ),,,,, Gabor,,, Gabor [6 ] NMR FID Gabor 1 NMR FID Gabor [6 ] NMR FID, L x ( k), x ( k) Gabor : M - 1 x ( k) = a m, n gh m, n ( k) (1) m = 0 n = 0 N - 1 x ( k) Gabor (RD GT) : L - 1 a m, n = x ( k) k = 0 r m, n ( k) (2) a m, n x ( k) RD GT Gabor gh m, n ( k) = gh ( k - m ) gn ) cas(2 nk/ N ) (3) r m, n ( k) = r ( k - m) gn ) cas(2 nk/ N ) (4) cas( x) = cos ( x) + sin ( x) Hartley [7 ] Gabor Gabor L = gn M = N gm, Gabor, M N, gm gn, gn gm ( M N L ) ( M N < L ) ( M N > L ), M N / L,, Gabor ( M N ) gn gm = N M = L ( a m, n x ( k) ), M N / L = 1, Gabor
3 4 : Gabor FID 437 gh ( k) r ( k) h ( k) r ( k), gh ( k) = h ( k + il ) = gh ( k + L ) (5) i Gabor r ( k) = r ( k + il ) = r ( k + L ) (6) i a m, n, m n, a m + im, n + jn = a m, n i, j = 0, 1, 2, 3, (7) gh ( k) r ( k) ( [6 ] ) : L - 1 gh ( k + m N ) cas( 2 nk k = 0 gn ) r ( k) = L N M m n (8) 0 m gm - 1,0 n gn - 1, k Kronecker delta (8), H r = v (9) v = { L / ( M N ), 0, 0,, 0} T gm gn, r = { r (0), r (1),, r ( L - 1) } T = { r (0), r (1),, r ( L - 1) } T, H ( gm gn ) L, H ( m gn + n, k) = gh ( k + m N ) cas(2 nk/ N ) (10) r (9), M = gm N = gn ( L = gm gn ), H, r, gm gn < L, (9) r Gabor [5 ], ( minimum norm), r 0 (9), min r : H L - 1 r = k = 0 r ( k) 2 (11) r 0 = H T ( HH T ) - 1 v (12), L = 1024, : h ( k) = 0 5 exp { - [ ( k ) / 200} u ( k ) ( 1 (a) ), u ( k), M = 16 N = 64,, (12) r ( k) 1 (b), 1 (c) H ( f ) 1 (d) R ( f ) h ( k) r ( k) Fourier Gauss : h ( k) = 0 01 exp{ [ ( k ) 0 03 ] 2 } ( 2 (a) ), M = 256 N = 512,, N M / L = 128, Fourier 2, Gauss ( [5 ] ), 2 Gauss 1,,,, Gauss (the optimal joint time2frequency concentration) [8 ], Gauss NMR FID, Gabor NMR FID Gabor, Gabor,, ( ), NMR FID Gabor NMR FID Gabor,, Gabor NMR FID
4 (a) h ( k), L = 1024, (b) r ( k), M = 16, N = 64 ( ), (c) h ( k) Fourier H ( f ), ( d) r ( k) Fourier R ( f ) Fig 1 (a) Exponential synthesis window h ( k), L = 1024, (b) the corresponding analysis window r ( k), L = 1024, M = 16, N = 64, critical sampling, (c) H ( f ), the Fourier spectrum of h ( k), ( d) R ( f ), the Fourier spectrum of r ( k) r, Hartley (DHT) [7 ] (2) a m, n : L - 1 a m, n = k = 0 N - 1 x ( k) r ( k - m gn ) cas(2 nk/ N ) = j = 0 gm - 1 i = 0 R m ( in + j) cas(2 nj/ N ) R m ( k) = x ( k) r ( k - m gn ), k = in + j N DHT (DHT (DFT),, [7 ( FFT) ] ), a m, n M ( N 1 - D DHT) + M L + ( gm - 1) M N, [5 ] Gabor gm M ( N 1 - D DFT) + M L + ( gm - 1) M N, Gabor x ( k), (1) : M - 1 x 0 ( k) = m = 0 gh ( k - N - 1 m gn ) a m, n cas( 2 nk n = 0 N ) x 0 ( k) x ( k) k = qn + k 0, q = 0, 1,, gm - 1, k 0 = 0, 1,, N - 1, (13)
5 4 : Gabor FID 439 M - 1 x 0 ( qn + k 0 ) = gh ( qn + k 0 - m = 0, N DHT) N - 1 m gn ) a \ - m, ncas( 2 nk 0 n = 0 N ) (14) DHT M ( N 1 - D + M L + ( M - 1) L, [5 ] Gabor 2 M N L + ( M N - 1) L, Gabor 2 (a) Gauss h ( k), L = 1024, (b) r ( k), M = 256, N = 512 ( ), (c) h ( k) Fourier H ( f ), (d) r ( k) Fourier R ( f ) Fig 2 (a) a Gaussian synthesis window h ( k), L = 1024, (b) the corresponding analysis window r ( k), L = 1024, M = 256, N = 512, oversampling, (c) H ( f ), the Fourier spectrum of h ( k), ( d) R ( f ), the Fourier spectrum of r ( k), [ 9 ] Gabor Gabor [6 Gabor ], Gabor Gabor a m, n : C m, n = [ ( a m, n + a m, N - n ) / 2 ] 2 + [ ( a m, n - a m, N - n ) / 2 ] 2 m = 0, 1, 2,, M - 1 ; n = 0, 1, 2,, N / 2-1 Gabor 2 (15)
6 [2 ], NMR FID x ( k), j = x ( k) = s ( k) + n w ( k) = Q b q exp - q = 1 t k + j (2 f T q t k + q ) + n w ( k) (16) 2 q - 1, b q f q q T 2 q s ( k) q NMR FID, t, x ( k) L, 0 k L - 1, n w ( k), x ( k) Gabor [3,4 NMR FID ] L = 1024 ( 85 3 ms), t = 1/ s, (Reference) 5 FID ( P l PCr ), 1, NMR FID 3 = 4 000, SNR ( 0 k L - 1) ( Reference ), SNR = 20 log ( s / n w ) = db, 4 1 NMR FID Table 1 Parameters of the simulated phosphorus FID sequence Peaks f q ( Hz) 0 2 T 2 q (ms) b q q ( ) Reference P l PCr
7 4 : Gabor FID Gauss, Gabor 5 (a), NMR FID,, NMR FID,,, Gabor ( ), Gabor ( NMR FID ),, Gabor ( Gabor ) NMR FID x 0 ( k) X 0 ( f ) 6 (a), SNR = 20 log ( s / x 0 - s ) = 4 43 db ( Reference ), SNR 7 76 db,,, NMR FID 5 Gabor C m, n, (a) Gabor, : ms Hz ; (b) Gabor, : ms Hz Fig 5 (a) Gaborgram of the phosphorus FID sequence in the oversampling case using the Gaussian synthesis window, (b) Gaborgram of the phosphorus FID sequence in the critical2sampling case using the exponential synthesis window 6 NMR FID x 0 ( k) X 0 ( f ), (a) Gabor ; (b) Gabor Fig 6 (a) Fourier spectrum of the enhanced phosphorus FID sequence using the oversampled Gabor transform and the Gaussian synthesis window, ( b) Fourier spectrum of the enhanced phosphorus FID sequence using the critically2sampled Gabor transform and the exponential synthesis window
8 [1 ], 1, Gabor 5 (b), NMR FID x 0 ( k) X 0 ( f ) 6 ( b), SNR = 20 log ( s / x 0 - s ) = db ( Reference ), SNR 0 85 db, Gabor, 3 Gabor, NMR FID NMR FID, NMR FID, ( Gabor ), NMR FID, NMR FID, Gabor Gabor NMR FID,, ;, Gabor : [ 1 ] Lu Y, Joshi S, Morris J M Noise Reduction for NMR FID Signal via Gabor Transform [J ] IEEE T on Bio2med Eng, 1997, 44 (6) : [ 2 ] Joliot M, Mazoyer B M, Heusman R H In vivo NMR spectral parameter estimation : A comparison between time and frequency domain methods [J ] Magnet Reson Med, 1991, 18 : [ 3 ] Leclerc J H J Time2frequency representation of damped sinusoids [J ] J Magn Reson, 1991, 95 : [4 ] Angelidis P A, Sergiadis G D Time2frequency representation of damped sinusoids using the Zak transform [J ] Journal of Magnetic Resonance Series A, 1993, 103 : [ 5 ] Qian S, Chen D Discrete Gabor transforms [J ] IEEE T Signal Proces, 1993, 21 (7) : [6 ] Tao L, Cheng G J Real2valued discrete Gabor transforms for discrete signal and image representation [J ] Chinese Journal of Electronics, 2001, 10 (4) : [ 7 ] Bracewell R M The fast Hartley transform [J ] Proc IEEE, 1984 ; 72 (8) : [ 8 ] Qian S, Chen D Joint time2frequency analysis [J ] IEEE Signal Proc Mag, 1999, 6 (2) : [ 9 ] Friedlander B, Zeira A Oversampled Gabor Representation for Transient Signals [J ] IEEE T Signal Proces, 1995, 43 (9) :
9 4 : Gabor FID 443 NMR FID SIGNAL ENHANCEMENT VIA OVERSAMPL ING GABOR TRANSFORMATION TA O L iang 1 3, GU J uan2j uan 2 (1 Institute of Computer Science and Information Engineering, Anhui University, Hefei , China ; 2 Dept of Computer and Information Engineering, Hefei University, Hefei , China) Abstract : An efficient algorithm is proposed to reduce the noise in NMR FID signals based on t he real2value discrete Gabor t ransformation developed in our previous work As NMR FID signals in the time domain are short oscillating decay signals, the FID signals in Gabor t ransformation domain (i e, a joint time2f requency domain) are concent rated in very few number of Gabor transformation coefficients, while the noise is fairly distributed among all t he coefficient s Therefore, performing a t hreshold2limiting work in t he t ransform domain can significantly enhance t he NMR F ID signals The t heoretical and experimental analyses presented in t his paper show t hat oversampling Gabor t ransformation is more suitable for NMR F ID signal enhancement t han critically2sampling t ransformation, because t he synt hesis window and it s corresponding analysis window in t he oversampling case can have better localization in both time domain and frequency domain than that in the critically2sampling case Furt hermore, t he oversampling Gabor t ransform can lead to higher time and f requency resolution t han t he critically2sampling one Key words : NMR F ID signals, oversampling Gabor t ransformation, signal enhancement algorit hms 3 Correspondence author : Tao Liang, Tel : , , E2mail edu
Analysis/resynthesis with the short time Fourier transform
Analysis/resynthesis with the short time Fourier transform summer 2006 lecture on analysis, modeling and transformation of audio signals Axel Röbel Institute of communication science TU-Berlin IRCAM Analysis/Synthesis
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Title Transcription of polyphonic signals using fast filter bank( Accepted version ) Author(s) Foo, Say Wei;
More informationSPEECH SIGNAL CODING FOR VOIP APPLICATIONS USING WAVELET PACKET TRANSFORM A
International Journal of Science, Engineering and Technology Research (IJSETR), Volume, Issue, January SPEECH SIGNAL CODING FOR VOIP APPLICATIONS USING WAVELET PACKET TRANSFORM A N.Rama Tej Nehru, B P.Sunitha
More informationMagnetic Field Modeling of Halbach Permanent Magnet Array
Magnetic Field Modeling of Halbach Permanent Magnet Array Shengguo Zhang *1, Kai Wang 1, Xiaoping Dang 2 School of Electrical Engineering, Northwest University for Nationalities, Lanzhou, China School
More informationALFFT FAST FOURIER Transform Core Application Notes
ALFFT FAST FOURIER Transform Core Application Notes 6-20-2012 Table of Contents General Information... 3 Features... 3 Key features... 3 Design features... 3 Interface... 6 Symbol... 6 Signal description...
More informationANALYZER BASICS WHAT IS AN FFT SPECTRUM ANALYZER? 2-1
WHAT IS AN FFT SPECTRUM ANALYZER? ANALYZER BASICS The SR760 FFT Spectrum Analyzer takes a time varying input signal, like you would see on an oscilloscope trace, and computes its frequency spectrum. Fourier's
More informationWavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let)
Wavelet analysis In the case of Fourier series, the orthonormal basis is generated by integral dilation of a single function e jx Every 2π-periodic square-integrable function is generated by a superposition
More informationMidwest Symposium On Circuits And Systems, 2004, v. 2, p. II137-II140. Creative Commons: Attribution 3.0 Hong Kong License
Title Adaptive window selection and smoothing of Lomb periodogram for time-frequency analysis of time series Author(s) Chan, SC; Zhang, Z Citation Midwest Symposium On Circuits And Systems, 2004, v. 2,
More informationLab 1. The Fourier Transform
Lab 1. The Fourier Transform Introduction In the Communication Labs you will be given the opportunity to apply the theory learned in Communication Systems. Since this is your first time to work in the
More informationSOFTWARE FOR GENERATION OF SPECTRUM COMPATIBLE TIME HISTORY
3 th World Conference on Earthquake Engineering Vancouver, B.C., Canada August -6, 24 Paper No. 296 SOFTWARE FOR GENERATION OF SPECTRUM COMPATIBLE TIME HISTORY ASHOK KUMAR SUMMARY One of the important
More informationAuto-Tuning Using Fourier Coefficients
Auto-Tuning Using Fourier Coefficients Math 56 Tom Whalen May 20, 2013 The Fourier transform is an integral part of signal processing of any kind. To be able to analyze an input signal as a superposition
More informationDepartment of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP
Department of Electrical and Computer Engineering Ben-Gurion University of the Negev LAB 1 - Introduction to USRP - 1-1 Introduction In this lab you will use software reconfigurable RF hardware from National
More informationVCO Phase noise. Characterizing Phase Noise
VCO Phase noise Characterizing Phase Noise The term phase noise is widely used for describing short term random frequency fluctuations of a signal. Frequency stability is a measure of the degree to which
More informationShort-time FFT, Multi-taper analysis & Filtering in SPM12
Short-time FFT, Multi-taper analysis & Filtering in SPM12 Computational Psychiatry Seminar, FS 2015 Daniel Renz, Translational Neuromodeling Unit, ETHZ & UZH 20.03.2015 Overview Refresher Short-time Fourier
More informationA Secure File Transfer based on Discrete Wavelet Transformation and Audio Watermarking Techniques
A Secure File Transfer based on Discrete Wavelet Transformation and Audio Watermarking Techniques Vineela Behara,Y Ramesh Department of Computer Science and Engineering Aditya institute of Technology and
More informationUse of Time-Frequency Representations in the Analysis of Stock Market Data
Use of Time-Frequency Representations in the Analysis of Stock Market Data Gonul Turhan-Sayan Department of Electrical and Electronics Engineering Middle East Technical University 06531 Ankara, Turkey
More informationAN-007 APPLICATION NOTE MEASURING MAXIMUM SUBWOOFER OUTPUT ACCORDING ANSI/CEA-2010 STANDARD INTRODUCTION CEA-2010 (ANSI) TEST PROCEDURE
AUDIOMATICA AN-007 APPLICATION NOTE MEASURING MAXIMUM SUBWOOFER OUTPUT ACCORDING ANSI/CEA-2010 STANDARD by Daniele Ponteggia - dp@audiomatica.com INTRODUCTION The Consumer Electronics Association (CEA),
More informationMUSICAL INSTRUMENT FAMILY CLASSIFICATION
MUSICAL INSTRUMENT FAMILY CLASSIFICATION Ricardo A. Garcia Media Lab, Massachusetts Institute of Technology 0 Ames Street Room E5-40, Cambridge, MA 039 USA PH: 67-53-0 FAX: 67-58-664 e-mail: rago @ media.
More informationOPEN LOOP CONTROL OF FLEXIBLE BEAM PERIODIC MOTION VIA FREQUENCY RESPONSE ANALYSIS
ABCM Symposium Series in Mechatronics - Vol. 4 - pp.7-78 Copyright Proceedings 2 of COBEM by ABCM 29 Copyright c 29 by ABCM 2th International Congress of Mechanical Engineering November 5-2, 29, Gramado,
More informationA Digital Audio Watermark Embedding Algorithm
Xianghong Tang, Yamei Niu, Hengli Yue, Zhongke Yin Xianghong Tang, Yamei Niu, Hengli Yue, Zhongke Yin School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, 3008, China tangxh@hziee.edu.cn,
More informationHigh Quality Integrated Data Reconstruction for Medical Applications
High Quality Integrated Data Reconstruction for Medical Applications A.K.M Fazlul Haque Md. Hanif Ali M Adnan Kiber Department of Computer Science Department of Computer Science Department of Applied Physics,
More informationNon-Data Aided Carrier Offset Compensation for SDR Implementation
Non-Data Aided Carrier Offset Compensation for SDR Implementation Anders Riis Jensen 1, Niels Terp Kjeldgaard Jørgensen 1 Kim Laugesen 1, Yannick Le Moullec 1,2 1 Department of Electronic Systems, 2 Center
More informationOptimum Resolution Bandwidth for Spectral Analysis of Stationary Random Vibration Data
Allan G. Piersol Piersol Engineering Company Woodland Hills, CA 91364 Optimum Resolution Bandwidth for Spectral Analysis of Stationary Random Vibration Data This article presents a methodology for selecting
More informationL and C connected together. To be able: To analyse some basic circuits.
circuits: Sinusoidal Voltages and urrents Aims: To appreciate: Similarities between oscillation in circuit and mechanical pendulum. Role of energy loss mechanisms in damping. Why we study sinusoidal signals
More informationExperimental Modal Analysis
Experimental Analysis A Simple Non-Mathematical Presentation Peter Avitabile, University of Massachusetts Lowell, Lowell, Massachusetts Often times, people ask some simple questions regarding modal analysis
More informationThe Hydrogen Atom Is a Magnet. http://www.seed.slb.com/en/scictr/watch/gashydrates/detecting.htm
The Hydrogen Atom Is a Magnet Nuclear Magnetic Resonance Spectroscopy (NMR) Proton NMR A hydrogen nucleus can be viewed as a proton, which can be viewed as a spinning charge. As with any spinning charge,
More informationWAVELET ANALYSIS BASED ULTRASONIC NONDESTRUCTIVE TESTING OF POLYMER BONDED EXPLOSIVE
WAVELET ANALYSIS BASED ULTRASONIC NONDESTRUCTIVE TESTING OF POLYMER BONDED EXPLOSIVE Weibin Zhang, Yong Tian, Zhanfeng Yang, Liling Wang Institute of Chemical Materials, China Academy of Engineering Physics,
More informationThe Algorithms of Speech Recognition, Programming and Simulating in MATLAB
FACULTY OF ENGINEERING AND SUSTAINABLE DEVELOPMENT. The Algorithms of Speech Recognition, Programming and Simulating in MATLAB Tingxiao Yang January 2012 Bachelor s Thesis in Electronics Bachelor s Program
More informationNMR Spectroscopy in Notre Dame
NMR Spectroscopy in Notre Dame University of Notre Dame College of Science Department of Chemistry and Biochemistry Nuclear Magnetic Resonance Facility http://www.nd.edu/~nmr Reservation system for spectrometers
More informationPerforming the Fast Fourier Transform with Microchip s dspic30f Series Digital Signal Controllers
Performing the Fast Fourier Transform with Microchip s dspic30f Series Digital Signal Controllers Application Note Michigan State University Dept. of Electrical & Computer Engineering Author: Nicholas
More informationNMR Techniques Applied to Mineral Oil, Water, and Ethanol
NMR Techniques Applied to Mineral Oil, Water, and Ethanol L. Bianchini and L. Coffey Physics Department, Brandeis University, MA, 02453 (Dated: February 24, 2010) Using a TeachSpin PS1-A pulsed NMR device,
More informationConvolution, Correlation, & Fourier Transforms. James R. Graham 10/25/2005
Convolution, Correlation, & Fourier Transforms James R. Graham 10/25/2005 Introduction A large class of signal processing techniques fall under the category of Fourier transform methods These methods fall
More informationPAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (Wimax) for Multi-Path Fading Channels
PAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (Wimax) for Multi-Path Fading Channels Ahsan Adeel Lecturer COMSATS Institute of Information Technology Islamabad Raed A. Abd-Alhameed
More informationMATRIX TECHNICAL NOTES
200 WOOD AVENUE, MIDDLESEX, NJ 08846 PHONE (732) 469-9510 FAX (732) 469-0418 MATRIX TECHNICAL NOTES MTN-107 TEST SETUP FOR THE MEASUREMENT OF X-MOD, CTB, AND CSO USING A MEAN SQUARE CIRCUIT AS A DETECTOR
More informationThe continuous and discrete Fourier transforms
FYSA21 Mathematical Tools in Science The continuous and discrete Fourier transforms Lennart Lindegren Lund Observatory (Department of Astronomy, Lund University) 1 The continuous Fourier transform 1.1
More informationHarmonics and Noise in Photovoltaic (PV) Inverter and the Mitigation Strategies
Soonwook Hong, Ph. D. Michael Zuercher Martinson Harmonics and Noise in Photovoltaic (PV) Inverter and the Mitigation Strategies 1. Introduction PV inverters use semiconductor devices to transform the
More informationNuclear Magnetic Resonance (NMR) Spectroscopy cont... Recommended Reading:
Applied Spectroscopy Nuclear Magnetic Resonance (NMR) Spectroscopy cont... Recommended Reading: Banwell and McCash Chapter 7 Skoog, Holler Nieman Chapter 19 Atkins, Chapter 18 Relaxation processes We need
More informationAutomotive. Aerospace. bout Us. Defense. Energy. Maritime. Education. Electronics. and more
Automotive Aerospace Defense bout Us Energy Maritime Education Electronics and more 1 2 State-of-the-art Hardware 2~8 Analog Input Channels 1~2 Drive Channel (can be adopted in dualaxis control application)
More informationElectronic Supplementary Information
Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 2016 Electronic Supplementary Information Achieving High Resolution and Controlling
More informationLog-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network
Recent Advances in Electrical Engineering and Electronic Devices Log-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network Ahmed El-Mahdy and Ahmed Walid Faculty of Information Engineering
More informationThe Calculation of G rms
The Calculation of G rms QualMark Corp. Neill Doertenbach The metric of G rms is typically used to specify and compare the energy in repetitive shock vibration systems. However, the method of arriving
More informationSecond Order Systems
Second Order Systems Second Order Equations Standard Form G () s = τ s K + ζτs + 1 K = Gain τ = Natural Period of Oscillation ζ = Damping Factor (zeta) Note: this has to be 1.0!!! Corresponding Differential
More informationAM/FM/ϕM Measurement Demodulator FS-K7
Data sheet Version 02.00 AM/FM/ϕM Measurement Demodulator FS-K7 July 2005 for the Analyzers FSQ/FSU/FSP and the Test Receivers ESCI/ESPI AM/FM/ϕM demodulator for measuring analog modulation parameters
More information7. Beats. sin( + λ) + sin( λ) = 2 cos(λ) sin( )
34 7. Beats 7.1. What beats are. Musicians tune their instruments using beats. Beats occur when two very nearby pitches are sounded simultaneously. We ll make a mathematical study of this effect, using
More informationL9: Cepstral analysis
L9: Cepstral analysis The cepstrum Homomorphic filtering The cepstrum and voicing/pitch detection Linear prediction cepstral coefficients Mel frequency cepstral coefficients This lecture is based on [Taylor,
More informationRedundant Wavelet Transform Based Image Super Resolution
Redundant Wavelet Transform Based Image Super Resolution Arti Sharma, Prof. Preety D Swami Department of Electronics &Telecommunication Samrat Ashok Technological Institute Vidisha Department of Electronics
More informationAN EFFICIENT ALGORITHM FOR THE DISCRETE GABOR TRANSFORM USING FULL LENGTH WINDOWS
AN EFFICIENT ALGORITHM FOR THE DISCRETE GABOR TRANSFORM USING FULL LENGTH WINDOWS PETER L. SØNDERGAARD Abstract. This paper extends the ecient factorization of the Gabor frame operator developed by Strohmer
More informationPropagation Channel Emulator ECP_V3
Navigation simulators Propagation Channel Emulator ECP_V3 1 Product Description The ECP (Propagation Channel Emulator V3) synthesizes the principal phenomena of propagation occurring on RF signal links
More informationAPPLYING VIRTUAL SOUND BARRIER AT A ROOM OPENING FOR TRANSFORMER NOISE CONTROL
APPLYING VIRTUAL SOUND BARRIER AT A ROOM OPENING FOR TRANSFORMER NOISE CONTROL Jiancheng Tao, Suping Wang and Xiaojun Qiu Key laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University,
More information7. DYNAMIC LIGHT SCATTERING 7.1 First order temporal autocorrelation function.
7. DYNAMIC LIGHT SCATTERING 7. First order temporal autocorrelation function. Dynamic light scattering (DLS) studies the properties of inhomogeneous and dynamic media. A generic situation is illustrated
More informationA Sound Analysis and Synthesis System for Generating an Instrumental Piri Song
, pp.347-354 http://dx.doi.org/10.14257/ijmue.2014.9.8.32 A Sound Analysis and Synthesis System for Generating an Instrumental Piri Song Myeongsu Kang and Jong-Myon Kim School of Electrical Engineering,
More informationIntroduction to Digital Audio
Introduction to Digital Audio Before the development of high-speed, low-cost digital computers and analog-to-digital conversion circuits, all recording and manipulation of sound was done using analog techniques.
More informationSimulation and Analysis of Parameter Identification Techniques for Induction Motor Drive
International Journal of Electronic and Electrical Engineering. ISSN 0974-2174 Volume 7, Number 10 (2014), pp. 1027-1035 International Research Publication House http://www.irphouse.com Simulation and
More information1.1 Discrete-Time Fourier Transform
1.1 Discrete-Time Fourier Transform The discrete-time Fourier transform has essentially the same properties as the continuous-time Fourier transform, and these properties play parallel roles in continuous
More informationNuclear Magnetic Resonance (NMR) Spectroscopy
April 28, 2016 Exam #3: Graded exams on Tuesday! Final Exam Tuesday, May 10 th, 10:30 a.m. Room: Votey 207 (tentative) Review Session: Sunday, May 8 th, 4 pm, Kalkin 325 (tentative) Office Hours Next week:
More informationMatlab GUI for WFB spectral analysis
Matlab GUI for WFB spectral analysis Jan Nováček Department of Radio Engineering K13137, CTU FEE Prague Abstract In the case of the sound signals analysis we usually use logarithmic scale on the frequency
More informationCONDUCTED EMISSION MEASUREMENT OF A CELL PHONE PROCESSOR MODULE
Progress In Electromagnetics esearch C, Vol. 42, 191 203, 2013 CONDUCTED EMISSION MEASUEMENT OF A CELL PHONE POCESSO MODULE Fayu Wan *, Junxiang Ge, and Mengxiang Qu Nanjing University of Information Science
More informationElectronic Communications Committee (ECC) within the European Conference of Postal and Telecommunications Administrations (CEPT)
Page 1 Electronic Communications Committee (ECC) within the European Conference of Postal and Telecommunications Administrations (CEPT) ECC RECOMMENDATION (06)01 Bandwidth measurements using FFT techniques
More informationAM Receiver. Prelab. baseband
AM Receiver Prelab In this experiment you will use what you learned in your previous lab sessions to make an AM receiver circuit. You will construct an envelope detector AM receiver. P1) Introduction One
More informationSimilar benefits are also derived through modal testing of other space structures.
PAGE 1 OF 5 PREFERRED RELIABILITY PRACTICES MODAL TESTING: MEASURING DYNAMIC STRUCTURAL CHARACTERISTICS Practice: Modal testing is a structural testing practice that provides low levels of mechanical excitation
More informationB3. Short Time Fourier Transform (STFT)
B3. Short Time Fourier Transform (STFT) Objectives: Understand the concept of a time varying frequency spectrum and the spectrogram Understand the effect of different windows on the spectrogram; Understand
More informationSpeech Signal Processing: An Overview
Speech Signal Processing: An Overview S. R. M. Prasanna Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati December, 2012 Prasanna (EMST Lab, EEE, IITG) Speech
More informationThe Development of a Pressure-based Typing Biometrics User Authentication System
The Development of a Pressure-based Typing Biometrics User Authentication System Chen Change Loy Adv. Informatics Research Group MIMOS Berhad by Assoc. Prof. Dr. Chee Peng Lim Associate Professor Sch.
More informationINTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena *1, K. Upendra Chowdary 2
ISSN 2277-2685 IJESR/June 2014/ Vol-4/Issue-6/333-337 Y. Naveena et al./ International Journal of Engineering & Science Research INTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena
More informationSupporting Information
S1 Supporting Information GFT NMR, a New Approach to Rapidly Obtain Precise High Dimensional NMR Spectral Information Seho Kim and Thomas Szyperski * Department of Chemistry, University at Buffalo, The
More informationThe Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals
International Journal The of Periodic Control, Moving Automation, Average and Filter Systems, for Removing vol. 5, no. Motion 6, pp. Artifacts 71-76, from December PPG s 27 71 The Periodic Moving Average
More informationFFT Algorithms. Chapter 6. Contents 6.1
Chapter 6 FFT Algorithms Contents Efficient computation of the DFT............................................ 6.2 Applications of FFT................................................... 6.6 Computing DFT
More informationResearch Article A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring
Mathematical Problems in Engineering Volume 214, Article ID 46478, 9 pages http://dx.doi.org/1.11/214/46478 Research Article A Method of Data Recovery Based on Compressive Sensing in Wireless Structural
More informationLecture 1-6: Noise and Filters
Lecture 1-6: Noise and Filters Overview 1. Periodic and Aperiodic Signals Review: by periodic signals, we mean signals that have a waveform shape that repeats. The time taken for the waveform to repeat
More informationWireless Radio Frequency Coil for Magnetic Resonance Image of Knee Joint
Wireless Radio Frequency Coil for Magnetic Resonance Image of Knee Joint Tomohiro Sahara, Hiroshi Tsutsui, Shigehiro Hashimoto, Shuichi Mochizuki, Kenichi Yamasaki, Hideo Kondo, Teruo Miyazaki Department
More informationNuclear Magnetic Resonance
Nuclear Magnetic Resonance Practical Course M I. Physikalisches Institut Universität zu Köln May 15, 2014 Abstract Nuclear magnetic resonance (NMR) techniques are widely used in physics, chemistry, and
More informationPractical Design of Filter Banks for Automatic Music Transcription
Practical Design of Filter Banks for Automatic Music Transcription Filipe C. da C. B. Diniz, Luiz W. P. Biscainho, and Sergio L. Netto Federal University of Rio de Janeiro PEE-COPPE & DEL-Poli, POBox 6854,
More informationSIGNAL PROCESSING & SIMULATION NEWSLETTER
1 of 10 1/25/2008 3:38 AM SIGNAL PROCESSING & SIMULATION NEWSLETTER Note: This is not a particularly interesting topic for anyone other than those who ar e involved in simulation. So if you have difficulty
More informationOptimum Frequency-Domain Partial Response Encoding in OFDM System
1064 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL 51, NO 7, JULY 2003 Optimum Frequency-Domain Partial Response Encoding in OFDM System Hua Zhang and Ye (Geoffrey) Li, Senior Member, IEEE Abstract Time variance
More informationSWISS ARMY KNIFE INDICATOR John F. Ehlers
SWISS ARMY KNIFE INDICATOR John F. Ehlers The indicator I describe in this article does all the common functions of the usual indicators, such as smoothing and momentum generation. It also does some unusual
More informationController Design in Frequency Domain
ECSE 4440 Control System Engineering Fall 2001 Project 3 Controller Design in Frequency Domain TA 1. Abstract 2. Introduction 3. Controller design in Frequency domain 4. Experiment 5. Colclusion 1. Abstract
More informationLecture 24: Oscillators. Clapp Oscillator. VFO Startup
Whites, EE 322 Lecture 24 Page 1 of 10 Lecture 24: Oscillators. Clapp Oscillator. VFO Startup Oscillators are circuits that produce periodic output voltages, such as sinusoids. They accomplish this feat
More informationChapter 8 - Power Density Spectrum
EE385 Class Notes 8/8/03 John Stensby Chapter 8 - Power Density Spectrum Let X(t) be a WSS random process. X(t) has an average power, given in watts, of E[X(t) ], a constant. his total average power is
More informationCombating Anti-forensics of Jpeg Compression
IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 3, November 212 ISSN (Online): 1694-814 www.ijcsi.org 454 Combating Anti-forensics of Jpeg Compression Zhenxing Qian 1, Xinpeng
More informationRalph L. Brooker, Member, IEEE. Andrew Corporation, Alexandria, VA 22314, USA
Spectral-Null Pulse Waveform For Characterizing Gain and Phase Distortion in Devices with Uncorrelated Frequency Translation or Limited CW Power Capability Ralph L. Brooker, Member, IEEE Andrew Corporation,
More informationjorge s. marques image processing
image processing images images: what are they? what is shown in this image? What is this? what is an image images describe the evolution of physical variables (intensity, color, reflectance, condutivity)
More informationTHEORY, SIMULATION, AND COMPENSATION OF PHYSIOLOGICAL MOTION ARTIFACTS IN FUNCTIONAL MRI. Douglas C. Noll* and Walter Schneider
THEORY, SIMULATION, AND COMPENSATION OF PHYSIOLOGICAL MOTION ARTIFACTS IN FUNCTIONAL MRI Douglas C. Noll* and Walter Schneider Departments of *Radiology, *Electrical Engineering, and Psychology University
More informationMethods for Estimation of Voltage Harmonic Components
13 Methods for Estimation of Voltage Harmonic Components Tomáš Radil 1 and Pedro M. Ramos 2 1 Instituto de Telecomunições, Lisbon 2 Instituto de Telecomunições and Department of Electrical and Computer
More informationA New Look at an Old Tool the Cumulative Spectral Power of Fast-Fourier Transform Analysis
A New Look at an Old Tool the Cumulative Spectral Power of Fast-Fourier Transform Analysis Sheng-Chiang Lee a and Randall D. Peters Physics Department, Mercer University, Macon, GA 31207 As an old and
More informationTechnical Information
Technical Information TI No. WL 80-63 E April 2001 Rolling Bearing Diagnosis with the FAG Bearing Analyser Rolling Bearings State-Of-The-Art, Condition-Related Monitoring of Plants and Machines Unforeseen
More informationImage Compression through DCT and Huffman Coding Technique
International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347 5161 2015 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Research Article Rahul
More informationLEVERAGING FPGA AND CPLD DIGITAL LOGIC TO IMPLEMENT ANALOG TO DIGITAL CONVERTERS
LEVERAGING FPGA AND CPLD DIGITAL LOGIC TO IMPLEMENT ANALOG TO DIGITAL CONVERTERS March 2010 Lattice Semiconductor 5555 Northeast Moore Ct. Hillsboro, Oregon 97124 USA Telephone: (503) 268-8000 www.latticesemi.com
More informationMUSIC-like Processing of Pulsed Continuous Wave Signals in Active Sonar Experiments
23rd European Signal Processing Conference EUSIPCO) MUSIC-like Processing of Pulsed Continuous Wave Signals in Active Sonar Experiments Hock Siong LIM hales Research and echnology, Singapore hales Solutions
More informationSR2000 FREQUENCY MONITOR
SR2000 FREQUENCY MONITOR THE FFT SEARCH FUNCTION IN DETAILS FFT Search is a signal search using FFT (Fast Fourier Transform) technology. The FFT search function first appeared with the SR2000 Frequency
More informationTHE Walsh Hadamard transform (WHT) and discrete
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS, VOL. 54, NO. 12, DECEMBER 2007 2741 Fast Block Center Weighted Hadamard Transform Moon Ho Lee, Senior Member, IEEE, Xiao-Dong Zhang Abstract
More informationFermi National Accelerator Laboratory. The Measurements and Analysis of Electromagnetic Interference Arising from the Booster GMPS
Fermi National Accelerator Laboratory Beams-Doc-2584 Version 1.0 The Measurements and Analysis of Electromagnetic Interference Arising from the Booster GMPS Phil S. Yoon 1,2, Weiren Chou 1, Howard Pfeffer
More informationTHE development of new methods and circuits for electrical energy conversion
FACTA UNIERSITATIS (NIŠ) SER.: ELEC. ENERG. vol. 22, no. 2, August 29, 245252 Investigation of ThreePhase to SinglePhase Matrix Converter Mihail Antchev and Georgi Kunov Abstract: A threephase to singlephase
More informationSynchronization of sampling in distributed signal processing systems
Synchronization of sampling in distributed signal processing systems Károly Molnár, László Sujbert, Gábor Péceli Department of Measurement and Information Systems, Budapest University of Technology and
More informationNMR for Physical and Biological Scientists Thomas C. Pochapsky and Susan Sondej Pochapsky Table of Contents
Preface Symbols and fundamental constants 1. What is spectroscopy? A semiclassical description of spectroscopy Damped harmonics Quantum oscillators The spectroscopic experiment Ensembles and coherence
More informationAdmin stuff. 4 Image Pyramids. Spatial Domain. Projects. Fourier domain 2/26/2008. Fourier as a change of basis
Admin stuff 4 Image Pyramids Change of office hours on Wed 4 th April Mon 3 st March 9.3.3pm (right after class) Change of time/date t of last class Currently Mon 5 th May What about Thursday 8 th May?
More informationThe Effect of Network Cabling on Bit Error Rate Performance. By Paul Kish NORDX/CDT
The Effect of Network Cabling on Bit Error Rate Performance By Paul Kish NORDX/CDT Table of Contents Introduction... 2 Probability of Causing Errors... 3 Noise Sources Contributing to Errors... 4 Bit Error
More informationLEAK DETECTION AND LOCALIZATION IN WATER DISTRIBUTION SYSTEM USING TIME FREQUENCY ANALYSIS. Nanyang Technological University, Singapore
LEAK DETECTION AND LOCALIZATION IN WATER DISTRIBUTION SYSTEM USING TIME FREQUENCY ANALYSIS Thaw Tar Thein Zan 1 Kai-Juan Wong 2 Hock-Beng Lim 3 Andrew J. Whittle 4 Bu-Sung Lee 1 1 School of Computer Engineering,
More informationA SIMULATION STUDY ON SPACE-TIME EQUALIZATION FOR MOBILE BROADBAND COMMUNICATION IN AN INDUSTRIAL INDOOR ENVIRONMENT
A SIMULATION STUDY ON SPACE-TIME EQUALIZATION FOR MOBILE BROADBAND COMMUNICATION IN AN INDUSTRIAL INDOOR ENVIRONMENT U. Trautwein, G. Sommerkorn, R. S. Thomä FG EMT, Ilmenau University of Technology P.O.B.
More informationAvailable from Deakin Research Online:
This is the authors final peered reviewed (post print) version of the item published as: Adibi,S 2014, A low overhead scaled equalized harmonic-based voice authentication system, Telematics and informatics,
More informationKap 8 Image quality, signal, contrast and noise
4/5/ FYS-KJM 474 contrast SNR MR-teori og medisinsk diagnostikk Kap 8 Image qualit, signal, contrast and noise resolution vailable MRparameters speed Main source of noise in MRI: Noise generated within
More information