Verfügbarkeit: Digital signal and image processing using Matlab

Digital signal and image processing using Matlab:

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Blanchet, Gerard (VerfasserIn), Charbit, Maurice (VerfasserIn)
Format:	Buch
Sprache:	English French
Veröffentlicht:	London [u.a.] ISTE Ltd. 2006
Schlagworte:	MATLAB Traitement du signal - Techniques numériques - Informatique Datenverarbeitung Signal processing > Digital techniques > Data processing Bildverarbeitung Digitale Signalverarbeitung
Online-Zugang:	Table of contents Publisher description Inhaltsverzeichnis
Beschreibung:	763 S. graph. Darst.
ISBN:	1905209134 9781905209132

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MARC


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Datensatz im Suchindex

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adam_text	DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB GERARD BLANCHET MAURICE CHARBIT CONTENTS 15 PREFACE 19 NOTATIONS AND ABBREVIATIONS 23 INTRODUCTION TO MATLAB 1 VARIABLES 1.1 VECTORS AND MATRICES 24 1.2 ARRAYS 26 1.3 CELLS AND STRUCTURES 27 2 OPERATIONS AND FUNCTIONS 29 2.1 MATRIX OPERATIONS 29 2.2 POINTWISE OPERATIONS 30 2.3 CONSTANTS AND INITIALIZATION 31 2.4 PREDEFINED MATRICES 31 2.5 MATHEMATICAL FUNCTIONS 32 2.6 MATRIX FUNCTIONS 34 2.7 OTHER USEFUL FUNCTIONS 34 2.8 LOGICAL OPERATORS ON BOOLEAN VARIABLES 35 2.9 PROGRAM LOOPS 35 3 GRAPHICALLY DISPLAYING RESULTS 36 4 CONVERTING NUMBERS TO CHARACTER STRINGS 39 5 INPUT/OUTPUT 39 6 PROGRAM WRITING 40 PART I DETERMINISTIC SIGNALS 41 CHAPTER 1 SIGNAL FUNDAMENTALS 43 1.1 THE CONCEPT OF SIGNAL 43 1.1.1 A FEW SIGNALS 44 1.1.2 SPECTRAL REPRESENTATION OF SIGNALS 46 1.2 THE CONCEPT OF SYSTEM 43 1.3 SUMMARY CQ 8 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB CHAPTER 2 DISCRETE TIME SIGNALS AND SAMPLING 51 2.1 THE SAMPLING THEOREM 52 2.1.1 PERFECT RECONSTRUCTION 52 2.1.2 DIGITAL-TO-ANALOG CONVERSION 64 2.2 PLOTTING A SIGNAL AS A FUNCTION OF TIME 65 2.3 SPECTRAL REPRESENTATION 67 2.3.1 DISCRETE-TIME FOURIER TRANSFORM (DTFT) 67 2.3.2 DISCRETE FOURIER TRANSFORM (DFT) 71 2.4 FAST FOURIER TRANSFORM 77 CHAPTER 3 SPECTRAL OBSERVATION 81 3.1 SPECTRAL ACCURACY AND RESOLUTION 81 3.1.1 OBSERVATION OF A COMPLEX EXPONENTIAL 81 3.1.2 PLOTTING ACCURACY OF THE DTFT 83 3.1.3 FREQUENCY RESOLUTION 84 3.1.4 EFFECTS OF WINDOWING ON THE RESOLUTION 87 3.2 SHORT TERM FOURIER TRANSFORM 90 3.3 SUMMING UP 94 3.4 APPLICATION EXAMPLES AND EXERCISES 95 3.4.1 AMPLITUDE MODULATIONS 95 3.4.2 FREQUENCY MODULATION 98 CHAPTER 4 LINEAR FILTERS 101 4.1 DEFINITIONS AND PROPERTIES 101 4.2 THE Z-TRANSFORM 106 4.2.1 DEFINITION AND PROPERTIES 106 4.2.2 A FEW EXAMPLES 107 4.3 TRANSFORMS AND LINEAR FILTERING 109 4.4 DIFFERENCE EQUATIONS AND RATIONAL TF FILTERS 111 4.4.1 STABILITY CONSIDERATIONS 112 4.4.2 FIR AND HR FILTERS 114 4.4.3 CAUSAL SOLUTION AND INITIAL CONDITIONS 115 4.4.4 CALCULATING THE RESPONSES 117 4.4.5 STABILITY AND THE JURY TEST 118 4.5 CONNECTION BETWEEN GAIN AND POLES/ZEROS 119 4.6 MINIMUM PHASE FILTERS 129 4.7 FILTER DESIGN METHODS 133 4.7.1 GOING FROM THE CONTINUOUS-TIME FILTER TO THE DISCRETE- TIME FILTER 133 4.7.2 FIR FILTER DESIGN USING THE WINDOW METHOD 137 4.7.3 HR FILTER DESIGN 147 4.8 OVERSAMPLING AND UNDERSAMPLING 150 4.8.1 OVERSAMPLING 151 CONTENTS 9 4.8.2 UNDERSAMPLING 155 CHAPTER 5 FILTER IMPLEMENTATION 159 5.1 FILTER IMPLEMENTATION 159 5.1.1 EXAMPLES OF FILTER STRUCTURES 159 5.1.2 DISTRIBUTING THE CALCULATION LOAD IN AN FIR FILTER ... 164 5.1.3 FIR BLOCK FILTERING 165 5.1.4 FFT FILTERING 167 5.2 FILTER BANKS 173 5.2.1 DECIMATION AND EXPANSION 174 5.2.2 FILTER BANKS 177 CHAPTER 6 AN INTRODUCTION TO IMAGE PROCESSING 187 6.1 INTRODUCTION 187 6.1.1 IMAGE DISPLAY, COLOR PALETTE 187 6.1.2 IMPORTING IMAGES 191 6.1.3 ARITHMETICAL AND LOGICAL OPERATIONS 193 6.2 GEOMETRIE TRANSFORMATIONS OF AN IMAGE 196 6.2.1 THE TYPICAL TRANSFORMATIONS 196 6.2.2 ALIGNING IMAGES 199 6.3 FREQUENTIAL CONTENT OF AN IMAGE 203 6.4 LINEAR FILTERING 207 6.5 OTHER OPERATIONS ON IMAGES 217 6.5.1 UNDERSAMPLING 217 6.5.2 OVERSAMPLING 217 6.5.3 CONTOUR DETECTION 220 6.5.4 MEDIAN FILTERING 226 6.5.5 MAXIMUM ENHANCEMENT 227 6.5.6 IMAGE BINARIZATION 229 6.5.7 MORPHOLOGICAL FILTERING OF BINARY IMAGES 234 6.6 JPEG LOSSY COMPRESSION 236 6.6.1 BASIC ALGORITHM 236 6.6.2 WRITING THE COMPRESSION FUNETION 237 6.6.3 WRITING THE DECOMPRESSION FUNETION 240 6.7 WATERMARKING 241 6.7.1 SPATIAL IMAGE WATERMARKING 241 6.7.2 SPECTRAL IMAGE WATERMARKING 244 PART II RANDOM SIGNALS 245 CHAPTER 7 RANDOM VARIABLES 247 7.1 RANDOM PHENOMENA IN SIGNAL PROCESSING 247 7.2 BASIC CONEEPTS OF RANDOM VARIABLES 248 10 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB 7.3 COMMON PROBABILITY DISTRIBUTIONS 256 7.3.1 UNIFORM PROBABILITY DISTRIBUTION ON (A, B) 256 7.3.2 REAL GAUSSIAN RANDOM VARIABLE 257 7.3.3 COMPLEX GAUSSIAN RANDOM VARIABLE 258 7.3.4 GENERATING THE COMMON PROBABILITY DISTRIBUTIONS . . . 259 7.3.5 ESTIMATING THE PROBABILITY DENSITY 262 7.3.6 GAUSSIAN RANDOM VECTORS 263 7.4 GENERATING AN R.V. WITH ANY TYPE OF P.D 265 7.5 UNIFORM QUANTIZATION 270 CHAPTER 8 RANDOM PROCESSES 273 8.1 INTRODUCTION 273 8.2 WIDE-SENSE STATIONARY PROCESSES 274 8.2.1 DEFINITIONS AND PROPERTIES OF WSS PROCESSES 275 8.2.2 SPECTRAL REPRESENTATION OF A WSS PROCESS 278 8.2.3 SAMPLING A WSS PROCESS 285 8.3 ESTIMATING THE COVARIANCE 289 8.4 FILTERING FORMULAE FOR WSS RANDOM PROCESSES 296 8.5 MA, AR AND ARMA TIME SERIES 302 8.5.1 Q ORDER MA (MOVING AVERAGE) PROCESS 302 8.5.2 P ORDER AR {AUTOREGRESSIVE) PROCESS 305 8.5.3 THE LEVINSON ALGORITHM 312 8.5.4 ARMA (P,Q) PROCESS 315 CHAPTER 9 CONTINUOUS SPECTRA ESTIMATION 317 9.1 NON-PARAMETRIC ESTIMATION OF THE PSD 317 9.1.1 ESTIMATION FROM THE AUTOCOVARIANCE FUNCTION 317 9.1.2 ESTIMATION BASED ON THE PERIODOGRAM 320 9.2 PARAMETRIC ESTIMATION 329 9.2.1 AR ESTIMATION 329 9.2.2 ESTIMATING THE SPECTRUM OF AN AR PROCESS 337 9.2.3 THE DURBIN METHOD OF MA ESTIMATION 338 CHAPTER 10 DISCRETE SPECTRA ESTIMATION 341 10.1 ESTIMATING THE AMPLITUDES AND THE FREQUENCIES 341 10.1.1 THE CASE OF A SINGLE COMPLEX EXPONENTIAL 341 10.1.2 REAL HARMONIC MIXTURES 343 10.1.3 COMPLEX HARMONIC MIXTURES 345 10.2 PERIODOGRAMS AND THE RESOLUTION LIMIT 347 10.3 HIGH RESOLUTION METHODS 358 10.3.1 PERIODIC SIGNALS AND RECURSIVE EQUATIONS 358 10.3.2 THE PRONY METHOD 363 10.3.3 THE MUSIC ALGORITHM 366 10.3.4 INTRODUCTION TO ARRAY PROCESSING 379 CONTENTS 11 CHAPTER 11 THE LEAST SQUARES METHOD 389 11.1 THE PROJECTION THEOREM 389 11.2 THE LEAST SQUARES METHOD 393 11.2.1 FORMULATING THE PROBLEM 393 11.2.2 THE LINEAR MODEL 394 11.2.3 THE LEAST SQUARES ESTIMATOR 395 11.2.4 THE RLS ALGORITHM (RECURSIVE LEAST SQUARES) 402 11.2.5 IDENTIFYING THE IMPULSE RESPONSE OF A CHANNEL 405 11.3 LINEAR PREDICTIONS OF THE WSS PROCESSES 407 11.3.1 YULE-WALKER EQUATIONS 407 11.3.2 PREDICTING A WSS HARMONIC PROCESS 408 11.3.3 PREDICTING A CAUSAL AR-P PROCESS 411 11.3.4 REFLECTION COEFFICIENTS AND LATTICE ALTERS 412 11.4 WIENER FILTERING 417 11.4.1 FINITE IMPULSE RESPONSE SOLUTION 419 11.4.2 GRADIENT ALGORITHM 420 11.4.3 WIENER EQUALIZATION 427 11.5 THE LMS (LEAST MEAN SQUARE) ALGORITHM 430 11.5.1 THE CONSTANT STEP ALGORITHM 430 11.5.2 THE NORMALIZED LMS ALGORITHM 439 11.5.3 ECHO CANCELING 442 11.6 APPLICATION: THE KAIMAN ALGORITHM 446 11.6.1 THE KAIMAN FILTER 446 11.6.2 THE VECTOR CASE 449 CHAPTER 12 SELECTED TOPICS 451 12.1 SIMULATION OF CONTINUOUS-TIME SYSTEMS 451 12.1.1 SIMULATION BY APPROXIMATION 451 12.1.2 EXACT MODEL SIMULATION 452 12.2 DUAL TONE MULTI-FREQUENCY (DTMF) 455 12.3 SPEECH PROCESSING 461 12.3.1 A SPEECH SIGNAL MODEL 461 12.3.2 COMPRESSING A SPEECH SIGNAL 468 12.4 DTW 471 12.5 MODIFYING THE DURATION OF AN AUDIO SIGNAL 474 12.5.1 PSOLA 475 12.5.2 PHASE VOCODER 477 12.6 QUANTIZATION NOISE SHAPING 478 12.7 ELIMINATION OF THE BACKGROUND NOISE IN AUDIO 482 12.8 ELIMINATING THE IMPULSE NOISE 484 12.8.1 THE SIGNAL MODEL 484 12.8.2 CLICK DETECTION 485 12.8.3 RESTORATION 488 12 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB 12.9 TRACKING THE CARDIAC RHYTHM OF THE FETUS 490 12.9.1 OBJECTIVES 490 12.9.2 SEPARATING THE EKG SIGNALS 491 12.9.3 ESTIMATING CARDIAC RHYTHMS 494 12.10 EXTRACTING THE CONTOUR OF A COIN 501 12.11 PRINCIPAL COMPONENT ANALYSIS (PCA) 503 12.11.1 DETERMINING THE PRINCIPAL COMPONENTS 503 12.11.2 2-DIMENSION PCA 507 12.11.3 LINEAR DISCRIMINANT ANALYSIS (LDA) 509 12.12 SEPARATING AN INSTANTANEOUS MIXTURE 514 12.13 MATCHED ALTERS IN RADAR TELEMETRY 516 12.14 KAIMAN FILTERING 518 12.15 COMPRESSION 524 12.15.1 SCALAR QUANTIZATION 524 12.15.2 VECTOR QUANTIZATION 526 12.16 DIGITAL COMMUNICATIONS 538 12.16.1 INTRODUCTION 538 12.16.2 8-PHASE SHIFT KEYING (PSK) 541 12.16.3 PAM MODULATION 543 12.16.4 SPECTRUM OF A DIGITAL SIGNAL 545 12.16.5 THE NYQUIST CRITERION IN DIGITAL COMMUNICATIONS . . . 549 12.16.6 THE EYE PATTERN 555 12.16.7 PAM MODULATION ON THE NYQUIST CHANNEL 556 12.17 LINEAR EQUALIZATION AND THE VITERBI ALGORITHM 562 12.17.1 LINEAR EQUALIZATION 564 12.17.2 THE VITERBI ALGORITHM 566 PART III HINTS AND SOLUTIONS 571 CHAPTER 13 HINTS AND SOLUTIONS 573 HL SIGNAL FUNDAMENTALS 573 H2 DISCRETE TIME SIGNALS AND SAMPLING 573 H3 SPECTRAL OBSERVATION 579 H4 LINEAR ALTERS 590 H5 FILTER IMPLEMENTATION 610 H6 AN INTRODUCTION TO IMAGE PROCESSING 614 H7 RANDOM VARIABLES 641 H8 RANDOM PROCESSES 646 H9 CONTINUOUS SPECTRA ESTIMATION 656 H10 DISCRETE SPECTRA ESTIMATION 661 HLL THE LEAST SQUARES METHOD 668 H12 SELECTED TOPICS 676 CONTENTS 13 CHAPTER 14 APPENDIX 727 AI FOURIER TRANSFORM 727 A2 DISCRETE TIME FOURIER TRANSFORM 728 A3 DISCRETE FOURIER TRANSFORM 729 A4 Z-TRANSFORM 730 A5 JURY CRITERION 732 A6 FFT FILTERING ALGORITHMS REVISITED 734 BIBLIOGRAPHY 739 INDEX 747
adam_txt	DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB GERARD BLANCHET MAURICE CHARBIT CONTENTS 15 PREFACE 19 NOTATIONS AND ABBREVIATIONS 23 INTRODUCTION TO MATLAB 1 VARIABLES 1.1 VECTORS AND MATRICES 24 1.2 ARRAYS 26 1.3 CELLS AND STRUCTURES 27 2 OPERATIONS AND FUNCTIONS 29 2.1 MATRIX OPERATIONS 29 2.2 POINTWISE OPERATIONS 30 2.3 CONSTANTS AND INITIALIZATION 31 2.4 PREDEFINED MATRICES 31 2.5 MATHEMATICAL FUNCTIONS 32 2.6 MATRIX FUNCTIONS 34 2.7 OTHER USEFUL FUNCTIONS 34 2.8 LOGICAL OPERATORS ON BOOLEAN VARIABLES 35 2.9 PROGRAM LOOPS 35 3 GRAPHICALLY DISPLAYING RESULTS 36 4 CONVERTING NUMBERS TO CHARACTER STRINGS 39 5 INPUT/OUTPUT 39 6 PROGRAM WRITING 40 PART I DETERMINISTIC SIGNALS 41 CHAPTER 1 SIGNAL FUNDAMENTALS 43 1.1 THE CONCEPT OF SIGNAL 43 1.1.1 A FEW SIGNALS 44 1.1.2 SPECTRAL REPRESENTATION OF SIGNALS 46 1.2 THE CONCEPT OF SYSTEM 43 1.3 SUMMARY CQ 8 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB' CHAPTER 2 DISCRETE TIME SIGNALS AND SAMPLING 51 2.1 THE SAMPLING THEOREM 52 2.1.1 PERFECT RECONSTRUCTION 52 2.1.2 DIGITAL-TO-ANALOG CONVERSION 64 2.2 PLOTTING A SIGNAL AS A FUNCTION OF TIME 65 2.3 SPECTRAL REPRESENTATION 67 2.3.1 DISCRETE-TIME FOURIER TRANSFORM (DTFT) 67 2.3.2 DISCRETE FOURIER TRANSFORM (DFT) 71 2.4 FAST FOURIER TRANSFORM 77 CHAPTER 3 SPECTRAL OBSERVATION 81 3.1 SPECTRAL ACCURACY AND RESOLUTION 81 3.1.1 OBSERVATION OF A COMPLEX EXPONENTIAL 81 3.1.2 PLOTTING ACCURACY OF THE DTFT 83 3.1.3 FREQUENCY RESOLUTION 84 3.1.4 EFFECTS OF WINDOWING ON THE RESOLUTION 87 3.2 SHORT TERM FOURIER TRANSFORM 90 3.3 SUMMING UP 94 3.4 APPLICATION EXAMPLES AND EXERCISES 95 3.4.1 AMPLITUDE MODULATIONS 95 3.4.2 FREQUENCY MODULATION 98 CHAPTER 4 LINEAR FILTERS 101 4.1 DEFINITIONS AND PROPERTIES 101 4.2 THE Z-TRANSFORM 106 4.2.1 DEFINITION AND PROPERTIES 106 4.2.2 A FEW EXAMPLES 107 4.3 TRANSFORMS AND LINEAR FILTERING 109 4.4 DIFFERENCE EQUATIONS AND RATIONAL TF FILTERS 111 4.4.1 STABILITY CONSIDERATIONS 112 4.4.2 FIR AND HR FILTERS 114 4.4.3 CAUSAL SOLUTION AND INITIAL CONDITIONS 115 4.4.4 CALCULATING THE RESPONSES 117 4.4.5 STABILITY AND THE JURY TEST 118 4.5 CONNECTION BETWEEN GAIN AND POLES/ZEROS 119 4.6 MINIMUM PHASE FILTERS 129 4.7 FILTER DESIGN METHODS 133 4.7.1 GOING FROM THE CONTINUOUS-TIME FILTER TO THE DISCRETE- TIME FILTER 133 4.7.2 FIR FILTER DESIGN USING THE WINDOW METHOD 137 4.7.3 HR FILTER DESIGN 147 4.8 OVERSAMPLING AND UNDERSAMPLING 150 4.8.1 OVERSAMPLING 151 CONTENTS 9 4.8.2 UNDERSAMPLING 155 CHAPTER 5 FILTER IMPLEMENTATION 159 5.1 FILTER IMPLEMENTATION 159 5.1.1 EXAMPLES OF FILTER STRUCTURES 159 5.1.2 DISTRIBUTING THE CALCULATION LOAD IN AN FIR FILTER . 164 5.1.3 FIR BLOCK FILTERING 165 5.1.4 FFT FILTERING 167 5.2 FILTER BANKS 173 5.2.1 DECIMATION AND EXPANSION 174 5.2.2 FILTER BANKS 177 CHAPTER 6 AN INTRODUCTION TO IMAGE PROCESSING 187 6.1 INTRODUCTION 187 6.1.1 IMAGE DISPLAY, COLOR PALETTE 187 6.1.2 IMPORTING IMAGES 191 6.1.3 ARITHMETICAL AND LOGICAL OPERATIONS 193 6.2 GEOMETRIE TRANSFORMATIONS OF AN IMAGE 196 6.2.1 THE TYPICAL TRANSFORMATIONS 196 6.2.2 ALIGNING IMAGES 199 6.3 FREQUENTIAL CONTENT OF AN IMAGE 203 6.4 LINEAR FILTERING 207 6.5 OTHER OPERATIONS ON IMAGES 217 6.5.1 UNDERSAMPLING 217 6.5.2 OVERSAMPLING 217 6.5.3 CONTOUR DETECTION 220 6.5.4 MEDIAN FILTERING 226 6.5.5 MAXIMUM ENHANCEMENT 227 6.5.6 IMAGE BINARIZATION 229 6.5.7 MORPHOLOGICAL FILTERING OF BINARY IMAGES 234 6.6 JPEG LOSSY COMPRESSION 236 6.6.1 BASIC ALGORITHM 236 6.6.2 WRITING THE COMPRESSION FUNETION 237 6.6.3 WRITING THE DECOMPRESSION FUNETION 240 6.7 WATERMARKING 241 6.7.1 SPATIAL IMAGE WATERMARKING 241 6.7.2 SPECTRAL IMAGE WATERMARKING 244 PART II RANDOM SIGNALS 245 CHAPTER 7 RANDOM VARIABLES 247 7.1 RANDOM PHENOMENA IN SIGNAL PROCESSING 247 7.2 BASIC CONEEPTS OF RANDOM VARIABLES 248 10 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB' 7.3 COMMON PROBABILITY DISTRIBUTIONS 256 7.3.1 UNIFORM PROBABILITY DISTRIBUTION ON (A, B) 256 7.3.2 REAL GAUSSIAN RANDOM VARIABLE 257 7.3.3 COMPLEX GAUSSIAN RANDOM VARIABLE 258 7.3.4 GENERATING THE COMMON PROBABILITY DISTRIBUTIONS . . . 259 7.3.5 ESTIMATING THE PROBABILITY DENSITY 262 7.3.6 GAUSSIAN RANDOM VECTORS 263 7.4 GENERATING AN R.V. WITH ANY TYPE OF P.D 265 7.5 UNIFORM QUANTIZATION 270 CHAPTER 8 RANDOM PROCESSES 273 8.1 INTRODUCTION 273 8.2 WIDE-SENSE STATIONARY PROCESSES 274 8.2.1 DEFINITIONS AND PROPERTIES OF WSS PROCESSES 275 8.2.2 SPECTRAL REPRESENTATION OF A WSS PROCESS 278 8.2.3 SAMPLING A WSS PROCESS 285 8.3 ESTIMATING THE COVARIANCE 289 8.4 FILTERING FORMULAE FOR WSS RANDOM PROCESSES 296 8.5 MA, AR AND ARMA TIME SERIES 302 8.5.1 Q ORDER MA (MOVING AVERAGE) PROCESS 302 8.5.2 P ORDER AR {AUTOREGRESSIVE) PROCESS 305 8.5.3 THE LEVINSON ALGORITHM 312 8.5.4 ARMA (P,Q) PROCESS 315 CHAPTER 9 CONTINUOUS SPECTRA ESTIMATION 317 9.1 NON-PARAMETRIC ESTIMATION OF THE PSD 317 9.1.1 ESTIMATION FROM THE AUTOCOVARIANCE FUNCTION 317 9.1.2 ESTIMATION BASED ON THE PERIODOGRAM 320 9.2 PARAMETRIC ESTIMATION 329 9.2.1 AR ESTIMATION 329 9.2.2 ESTIMATING THE SPECTRUM OF AN AR PROCESS 337 9.2.3 THE DURBIN METHOD OF MA ESTIMATION 338 CHAPTER 10 DISCRETE SPECTRA ESTIMATION 341 10.1 ESTIMATING THE AMPLITUDES AND THE FREQUENCIES 341 10.1.1 THE CASE OF A SINGLE COMPLEX EXPONENTIAL 341 10.1.2 REAL HARMONIC MIXTURES 343 10.1.3 COMPLEX HARMONIC MIXTURES 345 10.2 PERIODOGRAMS AND THE RESOLUTION LIMIT 347 10.3 HIGH RESOLUTION METHODS 358 10.3.1 PERIODIC SIGNALS AND RECURSIVE EQUATIONS 358 10.3.2 THE PRONY METHOD 363 10.3.3 THE MUSIC ALGORITHM 366 10.3.4 INTRODUCTION TO ARRAY PROCESSING 379 CONTENTS 11 CHAPTER 11 THE LEAST SQUARES METHOD 389 11.1 THE PROJECTION THEOREM 389 11.2 THE LEAST SQUARES METHOD 393 11.2.1 FORMULATING THE PROBLEM 393 11.2.2 THE LINEAR MODEL 394 11.2.3 THE LEAST SQUARES ESTIMATOR 395 11.2.4 THE RLS ALGORITHM (RECURSIVE LEAST SQUARES) 402 11.2.5 IDENTIFYING THE IMPULSE RESPONSE OF A CHANNEL 405 11.3 LINEAR PREDICTIONS OF THE WSS PROCESSES 407 11.3.1 YULE-WALKER EQUATIONS 407 11.3.2 PREDICTING A WSS HARMONIC PROCESS 408 11.3.3 PREDICTING A CAUSAL AR-P PROCESS 411 11.3.4 REFLECTION COEFFICIENTS AND LATTICE ALTERS 412 11.4 WIENER FILTERING 417 11.4.1 FINITE IMPULSE RESPONSE SOLUTION 419 11.4.2 GRADIENT ALGORITHM 420 11.4.3 WIENER EQUALIZATION 427 11.5 THE LMS (LEAST MEAN SQUARE) ALGORITHM 430 11.5.1 THE CONSTANT STEP ALGORITHM 430 11.5.2 THE NORMALIZED LMS ALGORITHM 439 11.5.3 ECHO CANCELING 442 11.6 APPLICATION: THE KAIMAN ALGORITHM 446 11.6.1 THE KAIMAN FILTER 446 11.6.2 THE VECTOR CASE 449 CHAPTER 12 SELECTED TOPICS 451 12.1 SIMULATION OF CONTINUOUS-TIME SYSTEMS 451 12.1.1 SIMULATION BY APPROXIMATION 451 12.1.2 EXACT MODEL SIMULATION 452 12.2 DUAL TONE MULTI-FREQUENCY (DTMF) 455 12.3 SPEECH PROCESSING 461 12.3.1 A SPEECH SIGNAL MODEL 461 12.3.2 COMPRESSING A SPEECH SIGNAL 468 12.4 DTW 471 12.5 MODIFYING THE DURATION OF AN AUDIO SIGNAL 474 12.5.1 PSOLA 475 12.5.2 PHASE VOCODER 477 12.6 QUANTIZATION NOISE SHAPING 478 12.7 ELIMINATION OF THE BACKGROUND NOISE IN AUDIO 482 12.8 ELIMINATING THE IMPULSE NOISE 484 12.8.1 THE SIGNAL MODEL 484 12.8.2 CLICK DETECTION 485 12.8.3 RESTORATION 488 12 DIGITAL SIGNAL AND IMAGE PROCESSING USING MATLAB 12.9 TRACKING THE CARDIAC RHYTHM OF THE FETUS 490 12.9.1 OBJECTIVES 490 12.9.2 SEPARATING THE EKG SIGNALS 491 12.9.3 ESTIMATING CARDIAC RHYTHMS 494 12.10 EXTRACTING THE CONTOUR OF A COIN 501 12.11 PRINCIPAL COMPONENT ANALYSIS (PCA) 503 12.11.1 DETERMINING THE PRINCIPAL COMPONENTS 503 12.11.2 2-DIMENSION PCA 507 12.11.3 LINEAR DISCRIMINANT ANALYSIS (LDA) 509 12.12 SEPARATING AN INSTANTANEOUS MIXTURE 514 12.13 MATCHED ALTERS IN RADAR TELEMETRY 516 12.14 KAIMAN FILTERING 518 12.15 COMPRESSION 524 12.15.1 SCALAR QUANTIZATION 524 12.15.2 VECTOR QUANTIZATION 526 12.16 DIGITAL COMMUNICATIONS 538 12.16.1 INTRODUCTION 538 12.16.2 8-PHASE SHIFT KEYING (PSK) 541 12.16.3 PAM MODULATION 543 12.16.4 SPECTRUM OF A DIGITAL SIGNAL 545 12.16.5 THE NYQUIST CRITERION IN DIGITAL COMMUNICATIONS . . . 549 12.16.6 THE EYE PATTERN 555 12.16.7 PAM MODULATION ON THE NYQUIST CHANNEL 556 12.17 LINEAR EQUALIZATION AND THE VITERBI ALGORITHM 562 12.17.1 LINEAR EQUALIZATION 564 12.17.2 THE VITERBI ALGORITHM 566 PART III HINTS AND SOLUTIONS 571 CHAPTER 13 HINTS AND SOLUTIONS 573 HL SIGNAL FUNDAMENTALS 573 H2 DISCRETE TIME SIGNALS AND SAMPLING 573 H3 SPECTRAL OBSERVATION 579 H4 LINEAR ALTERS 590 H5 FILTER IMPLEMENTATION 610 H6 AN INTRODUCTION TO IMAGE PROCESSING 614 H7 RANDOM VARIABLES 641 H8 RANDOM PROCESSES 646 H9 CONTINUOUS SPECTRA ESTIMATION 656 H10 DISCRETE SPECTRA ESTIMATION 661 HLL THE LEAST SQUARES METHOD 668 H12 SELECTED TOPICS 676 CONTENTS 13 CHAPTER 14 APPENDIX 727 AI FOURIER TRANSFORM 727 A2 DISCRETE TIME FOURIER TRANSFORM 728 A3 DISCRETE FOURIER TRANSFORM 729 A4 Z-TRANSFORM 730 A5 JURY CRITERION 732 A6 FFT FILTERING ALGORITHMS REVISITED 734 BIBLIOGRAPHY 739 INDEX 747
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dewey-full	621.382/2
dewey-hundreds	600 - Technology (Applied sciences)
dewey-ones	621 - Applied physics
dewey-raw	621.382/2
dewey-search	621.382/2
dewey-sort	3621.382 12
dewey-tens	620 - Engineering and allied operations
discipline	Elektrotechnik / Elektronik / Nachrichtentechnik
discipline_str_mv	Elektrotechnik / Elektronik / Nachrichtentechnik
format	Book
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id	DE-604.BV021690726
illustrated	Illustrated
index_date	2024-07-02T15:14:19Z
indexdate	2024-07-09T20:41:45Z
institution	BVB
isbn	1905209134 9781905209132
language	English French
lccn	2006012690
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-014904797
oclc_num	67921864
open_access_boolean
owner	DE-355 DE-BY-UBR DE-523 DE-706 DE-83
owner_facet	DE-355 DE-BY-UBR DE-523 DE-706 DE-83
physical	763 S. graph. Darst.
publishDate	2006
publishDateSearch	2006
publishDateSort	2006
publisher	ISTE Ltd.
record_format	marc
spelling	Blanchet, Gerard Verfasser aut Signaux et images sous Matlab Digital signal and image processing using Matlab Gérard Blanchet and Maurice Charbit London [u.a.] ISTE Ltd. 2006 763 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier MATLAB Traitement du signal - Techniques numériques - Informatique Datenverarbeitung Signal processing Digital techniques Data processing MATLAB (DE-588)4329066-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s MATLAB (DE-588)4329066-8 s DE-604 Bildverarbeitung (DE-588)4006684-8 s 1\p DE-604 Charbit, Maurice Verfasser aut http://www.loc.gov/catdir/toc/ecip0612/2006012690.html Table of contents http://www.loc.gov/catdir/enhancements/fy0643/2006012690-d.html Publisher description GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014904797&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Blanchet, Gerard Charbit, Maurice Digital signal and image processing using Matlab MATLAB Traitement du signal - Techniques numériques - Informatique Datenverarbeitung Signal processing Digital techniques Data processing MATLAB (DE-588)4329066-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd
subject_GND	(DE-588)4329066-8 (DE-588)4006684-8 (DE-588)4113314-6
title	Digital signal and image processing using Matlab
title_alt	Signaux et images sous Matlab
title_auth	Digital signal and image processing using Matlab
title_exact_search	Digital signal and image processing using Matlab
title_exact_search_txtP	Digital signal and image processing using Matlab
title_full	Digital signal and image processing using Matlab Gérard Blanchet and Maurice Charbit
title_fullStr	Digital signal and image processing using Matlab Gérard Blanchet and Maurice Charbit
title_full_unstemmed	Digital signal and image processing using Matlab Gérard Blanchet and Maurice Charbit
title_short	Digital signal and image processing using Matlab
title_sort	digital signal and image processing using matlab
topic	MATLAB Traitement du signal - Techniques numériques - Informatique Datenverarbeitung Signal processing Digital techniques Data processing MATLAB (DE-588)4329066-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd
topic_facet	MATLAB Traitement du signal - Techniques numériques - Informatique Datenverarbeitung Signal processing Digital techniques Data processing Bildverarbeitung Digitale Signalverarbeitung
url	http://www.loc.gov/catdir/toc/ecip0612/2006012690.html http://www.loc.gov/catdir/enhancements/fy0643/2006012690-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014904797&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT blanchetgerard signauxetimagessousmatlab AT charbitmaurice signauxetimagessousmatlab AT blanchetgerard digitalsignalandimageprocessingusingmatlab AT charbitmaurice digitalsignalandimageprocessingusingmatlab

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