Digital alias-free signal processing:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester
John Wiley
2007
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| Schlagworte: | |
| Online-Zugang: | Contributor biographical information Publisher description Table of contents only Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XXI,430 S. Ill. 24 cm |
| ISBN: | 9780470027387 |
Internformat
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| 264 | 1 | |a Chichester |b John Wiley |c 2007 | |
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Datensatz im Suchindex
| _version_ | 1804140808838840320 |
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| adam_text | DIGITAL ALIAS-FREE SIGNAL PROCESSING IVARS BILINSKIS INSTITUTE OF
ELECTRONICS AND COMPUTER SCIENCE, RIGA LATVIA BICINTIWWIAL B I C E NTEN
N1AL JOHN WILEY & SONS, LTD CONTENTS PREFACE XV FREQUENTLY USED SYMBOLS
AND ABBREVIATIONS XXIUE 1 INTRODUCTION: SIGNAL DIGITIZING AND DIGITAL
PROCESSING 1 1.1 SUBJECT MATTER 1 1.2 DIGITIZING DICTATES PROCESSING
PRECONDITIONS 4 1.2.1 CONNECTING COMPUTERS TO THE REAL-LIFE WORLD 5
1.2.2 WIDENING OF THE DIGITAL DOMAIN 5 1.2.3 DIGITAL SIGNAL
REPRESENTATION 1 1.2.4 COMPLEXITY REDUCTION OF SYSTEMS 10 1.3 APPROACH
TO THE DEVELOPMENT OF SIGNAL PROCESSING SYSTEMS 12 1.4 ALIAS-FREE
SAMPLING OPTION 14 1.4.1 ANTI-ALIASING IRREGULAERITY OF SAMPLING 14 1.4.2
SPARSE NONUNIFORM SAMPLING 17 1.4.3 NONUNIFORM SAMPLING EVENTS 21 1.5
REMARKS IN CONCLUSION 23 BIBLIOGRAPHY 25 PART 1 DIGITIZING 2
RANDOMIZATION AS A TOOL 31 2.1 RANDOMIZED VERSUS STATISTICAL SIGNAL
PROCESSING 32 2.2 ACCUMULATION OF EMPIRICAL EXPERIENCE 33 2.2.1 USING
MONTE CARLO METHODS FOR SIGNAL PROCESSING 3 3 2.2.2 POLARITY COINCIDENCE
METHODS 36 2.2.3 STOCHASTIC-ERGODIC METHOD 39 2.2.4 STOCHASTIC COMPUTING
40 CONTENTS 2.2.5 DITHERING 45 2.2.6 GENERALIZED SCHEME OF RANDOMIZED
DIGITIZING 48 2.3 DISCOVERY OF ALIAS-FREE SIGNAL PROCESSING 49 2.3.1
EARLY ACADEMIC RESEARCH IN RANDOMIZED TEMPORAL SAMPLING 49 2 .3.2 EARLY
RESEARCH IN RANDOMIZED SPATIAL SIGNAL PROCESSING 51 2.3.3 ENGINEERING
EXPERIENCE 52 2.4 RANDOMIZATION LEADING TO DASP 53 2.4.1 DASP MISSION 55
2.4.2 DEMONSTRATOR OFDASP ADVANTAGES AND LIMITATIONS 55 2.5 SOME OF THE
TYPICALLY TARGETED BENEFITS 58 BIBLIOGRAPHY 60 PERIODIC VERSUS
RANDOMIZED SAMPLING 63 3.1 PERIODIC SAMPLING AS A PARTICULAR SAMPLING
CASE 63 3.1.1 GENERALIZED SAMPLING MODEL 65 3.2 SPECTRA OF SAMPLED
SIGNALS 67 3.2.1 SPECTRA OF PERIODICALLY SAMPLED SIGNALS 68 3.2.2
SPECTRA OF RANDOMLY SAMPLED SIGNALS 70 3.3 ALIASING INDUCED ERRORS AT
SEEMINGLY CORRECT SAMPLING 71 3.4 OVERLAPPING OF SAMPLED SIGNAL
COMPONENTS 76 3.5 VARIOUS APPROACHES TO RANDOMIZATION OF SAMPLING 79
BIBLIOGRAPHY 83 RANDOMIZED QUANTIZATION 87 4.1 RANDOMIZED VERSUS
DETERMINISTIC QUANTIZATION 87 4.1.1 BASICS 88 4.1.2
INPUT-OUTPUTCHARACTERISTICS 90 4.1.3 RATIONALE OF RANDOMIZING 92 4.2
DELIBERATE INTRODUCTION OF RANDOMNESS 93 4.2.1 VARIOUS MODELS 94 4.3
QUANTIZATION ERRORS 97 4.3.1 PROBABILITY DENSITY FUNCTION OF ERRORS 98
4.3.2 VARIANCE OF RANDOMLY QUANTIZED SIGNALS 101 4.4 QUANTIZATION NOISE
103 4.4.1 COVARIANCE BETWEEN THE SIGNAL AND QUANTIZATION NOISE 104 4.4.2
SPECTRUM 105 BIBLIOGRAPHY 106 CONTENTS VU 5 PSEUDO-RANDOMIZED QUANTIZING
107 5.1 PSEUDO-RANDOMIZATION APPROACH 107 5.2 OPTIMAL QUANTIZING 109
5.2.7 SINGLE-THRESHOLD QUANTIZING 109 5.2.2 MULTITHRESHOLD QUANTIZING
112 5.2.3 IMPLEMENTATION APPROACHES 113 5.3 INPUT-OUTPUT RELATIONSHIPS
115 5.4 QUANTIZATION ERRORS 115 5.5 QUANTIZATION NOISE 117 5.5.7
COVARIANCE BETWEEN SIGNAL AND QUANTIZATION NOISE 11 9 5.5.2 SPECTRUM
OFTHE PSEUDO-RANDOMIZED QUANTIZATION NOISE 120 5.5.3 NOISE REDUCTION BY
OVERSAMPLING 121 5.6 SOME PROPERTIES OF QUANTIZED SIGNALS 122 5.7
BENEFITS 125 BIBLIOGRAPHY 126 6 DIRECT RANDOMIZATION OF SAMPLING 127 6.1
PERIODIC SAMPLING WITH JITTER 128 6.2 ADDITIVE RANDOM SAMPLING 131 6.3
SAMPLING FUNCTION 132 6.4 ELIMINATION OF BIAS ERRORS 136 BIBLIOGRAPHY
138 7 THRESHOLD-CROSSING SAMPLING 139 7.1 SAMPLING AT INPUT AND
REFERENCE SIGNAL CROSSINGS 140 7.7.7 LEVEL-CROSSING SAMPLING 141 7.7.2
TIME-VARIANT THRESHOLD CROSSINGS 142 7.2 REPRESENTING SIGNALS USING
TIMING INFORMATION 142 7.3 SINE-WAVE CROSSINGS 144 7.3.1 RECOVERY OF
SIGNAL SAMPLE VALUES 144 7.3.2 VARIOUS REALIZATIONS 147 7.4 REMOTE
SAMPLING BASED ON SINE-WAVE CROSSINGS 150 7.5 ADVANTAGES AND
DISADVANTAGES 152 BIBLIOGRAPHY 155 8 DERIVATIVES OF PERIODIC SAMPLING
8.1 PHASE-SHIFTED PERIODIC SAMPLING 157 158 CONTENTS 8.1.1 DEPENDENCE
OFALIASING ON THE SAMPLING PHASE 158 8.1.2 RECONSTRUCTION OF SAMPLED
SIGNALS 16 0 8.2 PERIODIC SAMPLING WITH RANDOM SKIPS 163 8.2.1 GENERAL
MODEL 163 8.2.2 TYPICAL USE 165 8.3 COMPENSATION EFFECT 165 8.3.1
DISPLAY OFFOURIER TRANSFORMS 166 8.3.2 OBSERVING THE ALIASING PROCESSES
167 8.4 GENERATION OF RANDOMIZED SAMPLING PULSE TRAINS 171 8.4.1 BASIC
APPROACH 171 8.4.2 PRACTICAL EXPERIENCE 173 BIBLIOGRAPHY 174 FUZZY
ALIASING 177 9.1 MEANING OF THE DFT OF A NONUNIFORMLY SAMPLED SIGNAL 177
9.2 CONCEPT OF FUZZY ALIASING 179 9.2.1 GENERIC PERIODIC SAMPLING WITH
RANDOM SKIPS 179 9.2.2 PRIMARY AND SECONDARY ALIASING 181 9.2.3
DECOMPOSITION OF SAMPLING POINT PROCESSES 183 9.3 ANATOMY OF FUZZY
ALIASING 185 9.3.1 TRACKING OF PARTICULAR CONTRIBUTIONS 185 9.3.2
INCOMPLETE COMPENSATION OFALIASES 187 9.3.3 ALIASING AT MULTIPLE
FREQUENCIES 188 9.4 OBJECTLESSON 188 BIBLIOGRAPHY 190 HYBRID SAMPLING
191 10.1 HYBRIDS OF PERIODIC AND RANDOM SAMPLING 192 10.1.1 BASIC
APPROACH 192 10.1.2 ARRANGEMENTS FOR SAMPLE VALUE PROCESSING 19 4 10.2
HYBRID DOUBLE SAMPLING 198 10.2.1 PROVIDING FOR SHORT SAMPLING INTERVALS
199 10.2.2 DOUBLE PERIODIC SAMPLING WITH JITTER 201 10.2.3 DOUBLE
ADDITIVE PSEUDO-RANDOM SAMPLING 203 10.2.4 PERIODIC ADDITIVE
PSEUDO-RANDOM SAMPLING 204 10.3 MIXING HYBRID SAMPLING WITH PERIODIC
SAMPLING 206 10.4 COMMENTS IN CONCLUSION 208 BIBLIOGRAPHY 210 CONTENTS
IX PART 2 PROCESSING 11 DATA ACQUISITION 213 11.1 DATA ACQUISITION FROM
WIDEBAND SIGNAL SOURCES 214 11.1.1 PRACTICAL RESULTS CONFIRMING THE
THEORY 214 11.1.2 SAMPLING WITH REDUCED UNCONTWLLED JITTER 215 11.2
APPLICATION OF HYBRID DOUBLE SAMPLING 218 11.3 PSEUDO-RANDOMIZED
MULTIPLEXING 219 11.4 MASSIVE DATA ACQUISITION 221 11.4.1 SPECIFICS OF
MULTICHANNEL DATA ACQUISITION 221 11.4.2 RECONFIGURABLE DISTRIBUTED
STRUCTURE ADC 223 BIBLIOGRAPHY 225 12 QUANTIZING-SPECIFIC SIGNAL
PARAMETER ESTIMATION 227 12.1 THEORETICAL LIMITS 228 12.1.1 MINIMAL
OBSERVATION TIME 228 12.1.2 SUJFICIENT NUMBER OF SIGNAL SAMPLES 231
12.1.3 INFLUENCE OF QUANTIZATION ERRORS 231 12.1.4 ESTIMATION OF
PERIODIC SIGNAL PARAMETERS 233 12.2 OPTIMAL ESTIMATION 234 72.2.7
MINIMIZING THE NUMBER OF SIGNAL SAMPLES 234 12.2.2 SIMPLIFYING HARDWARE
236 12.2.3 MINIMIZING BIT FLOW 237 12.2.4 DEVIATIONS FROM OPTIMAL
CONDITIONS 240 12.2.5 COMMENTS 241 12.3 SPECIFICS RELATED TO
PSEUDO-RANDOMIZED QUANTIZING 242 72J.7 AVOIDING PROCESSING OFTHE DITHER
PROCESS 243 12.3.2 SIMPLIFIED PROCESSING OF THE DITHER PROCESS 244 12.4
ESTIMATION OF THE ABSOLUTE MEAN VALUE 246 12.4.1 ELECTRONIC DEVICE 246
12.4.2 ESTIMATION ERRORS 247 12.5 ESTIMATION OF THE MEAN POWER 249
12.5.1 ESTIMATION EFFICIENCY 250 12.6 ERRORS DUE TO RANDOMIZED SAMPLING
251 12.6.1 ABSOLUTE MEAN VALUE ESTIMATE 252 12.6.2 MEAN POWER ESTIMATE
252 12.6.3 OVERALL ESTIMATION ERRORS 252 BIBLIOGRAPHY 253 CONTENTS
ESTIMATION OF CORRELATION FUNCTIONS 255 13.1 MULTIPLICATION OF QUANTIZED
SIGNALS 256 13.1.1 EXPECTED VALUE OF MULTIPLIED QUANTIZED SIGNALS 256
13.1.2 VARIANCE OF MULTIPLICATION RESULTS 257 13.1.3 OPTIONAL APPROACHES
259 13.2 CORRELATION ANALYSIS OF PSEUDO-RANDOMLY QUANTIZED SIGNALS 260
13.2.1 ESTIMATION PROCEDURE 261 13.2.2 ESSENTIAL RELATIONSHIPS 261
13.2.3 IMPLEMENTATION ISSUES 263 13.3 CORRELATION ANALYSIS OF
PSEUDO-RANDOMLY SAMPLED SIGNALS 264 13.4 COMMENTS 267 BIBLIOGRAPHY 268
SIGNAL TRANSFORMS 269 14.1 PROBLEM OF MATCHING SIGNAL PROCESSING TO
SAMPLING 269 14.2 BASES OF SIGNAL TRANSFORMS 271 14.2.1 REQUIRED
PROPERTIES OFTHE TRANSFORM BASES 271 14.2.2 TRANSFORMS BY MEANS OF A
FINITE NUMBER OF BASIS FUNCTIONS 272 14.3 ORTHOGONAL TRANSFORMS 274
14.3.1 ANALOG PROCESSING 275 14.3.2 DIGITAL PROCESSING 276 14.4 DISCRETE
UNORTHOGONAL TRANSFORMS 277 14.5 CONVERSION OF UNORTHOGONAL TRANSFORMS
279 BIBLIOGRAPHY 281 DFT OF NONUNIFORMLY SAMPLED SIGNALS 283 15.1
PROBLEMS RELATED TO SAMPLING IRREGULARITIES 284 15.1.1 ALTERNATIVE
APPROACHES TO DFT 284 15.1.2 BEST-FITTING PROCEDURE VERSUS DIRECT DFT
285 15.1.3 SAMPLE VALUES PARTLY FITTING TO ANY FREQUENCY 288 15.2
CROSS-INTERFERENCE CORRUPTING DFT 289 15.3 EXPLOITATION OF FFT 291
15.3.1 APPLICATION OFFFTFOR PROCESSING NONUNIFORMLY SAMPLED SIGNALS 291
15.3.2 FAST TRANSFORMS OF SIGNALS SAMPLED AT SINE-WAVE CROSSING INSTANTS
294 15.4 REVEALING THE ESSENCE OF THE FOURIER COEFFICIENT ESTIMATION 299
BIBLIOGRAPHY 306 COMPLEXITY-REDUCED DFT 307 16.1 POTENTIAL GAINS FROM
APPLICATION OF RECTANGULAR FUNCTION SETS 307 16.1.1 USE OF ORTHOGONAL
RECTANGULAR FUNCTIONS 308 76.7.2 REDUCTION IN THE COMPUTATIONAL BUERDEN
FOR DFT 309 16.2 COMPLEXITY-REDUCED DFT EXPLOITING RECTANGULAR FUNCTIONS
310 16.2.1 ESSENTIALS OFTHE METHOD 310 16.2.2 MATHEMATICAL DESCRIPTION
312 16.2.3 DIGITAL IMPLEMENTATION 316 16.3 COMPUTER SIMULATIONS OF THE
RECTANGULAR FUNCTION-BASED DFT 318 16.4 FAST DFT OF SINE-WAVE CROSSINGS
322 BIBLIOGRAPHY 324 SPATIAL DATA ACQUISITION AND PROCESSING 325 17.1
SENSOR ARRAY MODEL 326 17.2 TEMPORAL AND SPATIAL SPECTRA OF ARRAY
SIGNALS 328 77.2.7 WHEN SIGNAL SOURCE FREQUENCIES DO NOT OVERLAP 33 0 7
7.2.2 WHEN SIGNAL SOURCE FREQUENCIES OVERLAP 331 17.2.3 ALIASING IN THE
SPATIAL DOMAIN 332 17.3 BEAMFORMING 335 17.4 SIGNAL DIRECTION OF ARRIVAL
ESTIMATION 337 17.5 PSEUDO-RANDOMIZATION OF SENSOR ARRAYS 343 17.5.1
COMPLEXITY REDUCTION OF ARRAYS 343 17.5.2 PSEUDO-RANDOMIZATION OF ARRAY
SIGNAL PROCESSING 345 BIBLIOGRAPHY 346 ADAPTING SIGNAL PROCESSING TO
SAMPLING NONUNIFORMITIES 347 18.1 CROSS-INTERFERENCE COEFFICIENTS 347
18.1.1 DEFINITION 348 78.7.2 INTERPRETATION 349 18.1.3 APPROXIMATION 350
18.2 TAKING THE CROSS-INTERFERENCE INTO ACCOUNT 353 18.3 ACHIEVABLE
IMPROVEMENT AND TYPICAL PROBLEMS 356 18.4 PARALLEL COMPUTING APPROACH
357 18.4.1 DECOMPOSITION OFTHE SIGNAL SAMPLE VALUE SEQUENCE 359 18.4.2
ADAPTING THE ESTIMATION FOR EACH SIGNAL SAMPLE VALUE SUBSET 361 CONTENTS
18.4.3 DATA AGGREGATION 362 18.5 MAPPING OF THE CROSS-INTERFERENCE
COEFFICIENTS 364 18.5.1 REQUIRED FREQUENCY RESOLUTION 364 18.5.2
COEFFICIENT MAPPING VERSUS ON-LINE CALCULATIONS 36 6 ESTIMATION OF
OBJECT PARAMETERS 367 19.1 MEASURING THE FREQUENCY RESPONSE OF OBJECTS
367 19.2 TEST SIGNAL SYNTHESIS FROM A SPARSELY PERIODICALLY SAMPLED
BASIS FUNCTION 369 19.2.1 SYNTHESIS IN THE CASE OF MONOHARMONIC BASIS
371 19.2.2 SYNTHESIS IN THE CASE OF MULTIFREQUENCY BASIS 374 19.3 TEST
SIGNAL SYNTHESIS FROM A NONUNIFORMLY SAMPLED BASIS FUNCTION 375 19.3.1
SPECTRUM OF THE SYNTHESIZED SIGNAL 376 19.3.2 MULTIFREQUENCY SIGNAL
SYNTHESIS 379 19.3.3 AMPLITUDE EQUALIZATION 381 19.4 SYNTHESIS OF
NARROWBAND AND WIDEBAND SIGNALS 382 19.5 MEASURING SMALL DELAYS AND
SWITCHING TIMES 385 19.6 BIOIMPEDANCE SIGNAL DEMODULATION IN REAL-TIME
390 19.6.1 TYPICAL CONDITIONS FOR BIOIMPEDANCE SIGNAL FORMING 390 19.6.2
COMPLEXITY REDUCTION OF BIOIMPEDANCE SIGNAL DEMODULATION 391
BIBLIOGRAPHY 393 ENCAPSULATING DASP TECHNOLOGY 395 20.1 LINKING DIGITAL
ALIAS-FREE SIGNAL PROCESSING WITH TRADITIONAL METHODS 396 20.1.1 GENERIC
MODEL OFTHE EMBEDDED DASP SYSTEMS 396 20.1.2 VARIOUS DASP SYSTEM
EMBEDDING CONDITIONS 399 20.2 ALGORITHM OPTIONS IN THE DEVELOPMENT OF
FIRMWARE 401 20.2.1 SEQUENTIAL EXCLUSION OF SIGNAL COMPONENTS 40 1
20.2.2 ITERATIVE VARIABLE THRESHOLD CALCULATIONS OF DFTANDIDFT 403
20.2.3 ALGORITHMS ADAPTED TO THE SAMPLING IRREGULARITIES 405 20.2.4
COMPARISON OF ALGORITHM PERFORMANCE 406 20.3 DEDICATED SERVICES OF THE
EMBEDDED DASP SYSTEMS 408 20.4 DEDICATED SERVICES RELATED TO PROCESSING
OF DIGITAL INPUTS 411 20.4.1 APPROACH TO DATA COMPRESSION 411 CONTENTS
XIN 20.4.2 DATA COMPRESSIONFOR ONE-DIMENSIONAL SIGNALS 414 20.4.3 DATA
COMPRESSIONFOR TWO-DIMENSIONAL SIGNALS 415 20.4.4 PROVIDING FOR FAULT
TOLERANCE 416 20.5 REDUCING THE QUANTITY OF SENSORS IN LARGE-APERTURE
ARRAYS 419 20.5.1 ADAPTING SIGNAL PROCESSING TO PSEUDO-RANDOM POSITIONS
OF SENSORS 420 BIBLIOGRAPHY 425 INDEX 427
|
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| indexdate | 2024-07-09T22:05:52Z |
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| isbn | 9780470027387 |
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| publisher | John Wiley |
| record_format | marc |
| spelling | Bilinskis, Ivars Verfasser aut Digital alias-free signal processing Ivars Bilinskis Chichester John Wiley 2007 XXI,430 S. Ill. 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s DE-604 http://www.loc.gov/catdir/enhancements/fy0741/2007296948-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0741/2007296948-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0741/2007296948-t.html Table of contents only GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018699250&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bilinskis, Ivars Digital alias-free signal processing Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| subject_GND | (DE-588)4113314-6 |
| title | Digital alias-free signal processing |
| title_auth | Digital alias-free signal processing |
| title_exact_search | Digital alias-free signal processing |
| title_full | Digital alias-free signal processing Ivars Bilinskis |
| title_fullStr | Digital alias-free signal processing Ivars Bilinskis |
| title_full_unstemmed | Digital alias-free signal processing Ivars Bilinskis |
| title_short | Digital alias-free signal processing |
| title_sort | digital alias free signal processing |
| topic | Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| topic_facet | Signal processing Digital techniques Digitale Signalverarbeitung |
| url | http://www.loc.gov/catdir/enhancements/fy0741/2007296948-b.html http://www.loc.gov/catdir/enhancements/fy0741/2007296948-d.html http://www.loc.gov/catdir/enhancements/fy0741/2007296948-t.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018699250&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT bilinskisivars digitalaliasfreesignalprocessing |