Digital signal processing:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Reading, Mass. u.a.
Addison-Wesley
1987
|
| Ausgabe: | Repr. with corr. |
| Schriftenreihe: | Addison-Wesley series in electrical engineering
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 578 S. |
| ISBN: | 0201163500 |
Internformat
MARC
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| 100 | 1 | |a Roberts, Richard A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Digital signal processing |c Richard A. Roberts ; Clifford T. Mullis |
| 250 | |a Repr. with corr. | ||
| 264 | 1 | |a Reading, Mass. u.a. |b Addison-Wesley |c 1987 | |
| 300 | |a XIV, 578 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Addison-Wesley series in electrical engineering | |
| 650 | 7 | |a Traitement du signal - Techniques numériques |2 ram | |
| 650 | 4 | |a Signal processing |x Digital techniques | |
| 650 | 0 | 7 | |a Digitale Signalverarbeitung |0 (DE-588)4113314-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Digitale Signalverarbeitung |0 (DE-588)4113314-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Mullis, Clifford T. |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804118392008867840 |
|---|---|
| adam_text | ontents
m « Iii inuni mil
Preface iii
Digital Signal Processing i
1 1 Introduction I
1 2 An Outline of the Book 2
Discrete-Time Signals and Systems 5
2 1 Introduction 5
2 2 Discrete-Time Signals 7
2 3 Discrete-Time Systems 8
2 4 The Unit-Pulse Response Characterization of LSI Systems 11
Convolution and the Unit-Pulse Response Sequence 12
Properties of the Unit-Pulse Response 13
Deconvolution 16
Characterization of BIBO Stability 17
2 5 The Frequency Response Function 18
Computation of the Frequency Response Function 23
2 6 The Standard Difference Equation 31
Solving the SDE 33
Characterization of All Solutions to the HE 34
Choosing the Constants of the Homogeneous Solution 35
The Unit-Pulse Response from the SDE 37
The Frequency Response Function from the SDE 40
Stability 41
vii
CONTENTS
2 7 Signal Flow Graphs 42
28A Hierarchy of Discrete-Time System Descriptions 45
PROBLEMS 47
The z-Transform 53
3 1 The Bilateral z-Transform 53
3 2 Properties of the z-Transform 56
1 Linearity 56
2 Shifting 57
3 Convolution 58
4 Scaling 59
5 Multiplication by k 59
Vector Sequences 61
3 3 Inversion of the z-Transform 62
Direct Division 62
Partial Fraction Expansions 63
The Inversion Integral 65
3 4 The z-Transform of the Product fg and Parseval’s
Theorem 68
3 5 Inversion of z-Transforms, Causality, and BIBO Stability 69
3 6 Frequency Response and H(z) 71
3 7 Structural Forms of H(z) 72
FIR Lattice Structures 76
PROBLEMS 79
Fourier Analysis of Discrete-Time Signals
and Systems 85
4 1 Introduction 85
4 2 The Discrete-Time Fourier Transform Orthogonality Properties 90 Shift Properties 92 Symmetry Properties 97 87
4 3 Fourier Series 99
4 4 The Fourier Transform 101
4 5 The Discrete Fourier Transform 105
Orthogonality Properties of the DFT Shift Properties of the DFT 108 107
4 6 Sampling and Generalized Convolution 112
Sampling and Aliasing 113
Generalized Convolution-Multiplication 120
Generalized Multiplication-Convolution 125
CONTENTS
ix
4 7 Equivalent Analog Filters and the Sampling Theorem 125
Equivalent Analog Filtering 126
The Shannon Sampling Theorem 127
Practical Reconstruction 129
4 8 The DFT Approximation to the Fourier Transform 130
Choosing ta and N 133
4 9 FIR Filter Implementation Based on the DFT 136
PROBLEMS 139
Fast Algorithms for the Discrete Fourier
Transform 147
5 1 Introduction 147
5 2 Power-of-2 FFT Algorithms 148
5 3 Other Forms of the FFT 152
Bit Reversal Permutation 154
Other Permutations and the FFT 154
Algorithms for the Inverse DFT 156
5 4 More Fast Algorithms 156
5 5 Prime Factor and Related Algorithms 160
A Fast Algorithm by Good 162
5 6 Reduced Multiplier FFT Algorithms 163
5 7 Fast Algorithms for Aperiodic Convolution of Two Finite
Sequences 164
5 8 Additional Comments on the Use of the FFT 166
Digital Filtering of Real Signals 168
PROBLEMS 169
*6*
The Approximation Problem for Digital
Filters 173
6 1 Introduction 173
6 2 Finite-Impulse Response or Nonrecursive Filter Design 175
Linear Phase FIR Filters 176
6 3 Window Design of FIR Filters 177
Other Window Functions 183
6 4 FIR Filter Design by Frequency Sampling 188
6 5 Minimax Design of FIR Filters 191
6 6 The Approximation Problem for IIR Digital Filters 193
Impulse Invariance 194
The Bilinear Transform Method 198
The Matched z-Transformation Design 202
A Minimum Mean Squared Error Design 202
CONTENTS
6 7 Frequency Transformations 202
68A Comparison of FIR and HR Digital Filters 207
PROBLEMS 208
Appendix 6a Design of Analog Low-Pass
Filter Prototypes 217
Butterworth Filters 218
Chebyshev Filters 220
Inverse Chebyshev Filters 221
Elliptic Filters 222
Appendix 6b The Chebyshev Window
Function 225
Least-Squares Filter Design 229
7 1 Introduction 229
7 2 Deterministic Least Squares 230
The FIR Whitening Problem 236
Asymptotic Behavior (n — oo) 240
7 3 Wide Sense Stationary Signals 243
White Noise 244
The Wiener-Khintchine Theorem 248
The Signal Modeling Problem (Spectral Factorization) 250
7 4 Statistical Least Squares 252
The Noncausal Case 255
The FIR Case 256
The Causal IIR Case 261
7 5 Adaptive Filters 267
The Widrow Algorithm 268
PROBLEMS 274
Appendix 7a Quadratic Forms 28i
Decomposition of Quadratic Forms 283
CONTENTS
xi
Internal Descriptions for Digital
Filters 287
8 1 Introduction 287
The Reasons for More Detailed Filter Descriptions 290
8 2 Primitive Signal Flow Graphs 290
Definition 291
Node Ordering Procedure 291
8 3 State Variable Descriptions 297
State Variable Description from a PSFG 297
Transfer Function from the State Variable Description 300
Standard Difference Equation from the State Variable
Description 301
Time Domain State Variable Descriptions 301
Unit-Pulse Response from the State Variable
Description 303
Coordinate Transformations 304
Poles and Zeros and the State Variable Description 305
8 4 Factored State Variable Descriptions 307
Construction of the Factored State Variable
Description 307
Examples of FSVDs 308
Primitive Signal Flow Graphs with Fractional Delays 313
Node Ordering for Fractional Delay PSFGs 316
8 5 State Variable Descriptions and Wide Sense Stationary
Inputs 316
Calculation of the Output Autocorrelation Function in
Terms of (A,B C,D) 319
The Matrix K and Liapunov Stability 320
Factored State Variable Equations 322
PROBLEMS 323
Appendix sa Spectral Representation and
Functions of a Matrix 331
Eigenvectors 339
Transformations 339
Normal Matrices 340
Finite Length Register Effects in Fixed Point
Digital Filters 343
9 1 Introduction 343
9 2 Analog-to-Digital Conversion and Quantization Noise 344
xii
CONTENTS
9 3 Limit Cycles—Overflow Oscillations 348
A State Variable Model for Overflow 350
9 4 Filter Structures Free of Overflow Oscillations 354
Summary on Overflow Limit Cycles 359
9 5 Roundoff Noise in 11R Digital Filters 360
Computation of Output Roundoff Noise 361
9 6 Scaling Fixed Point Digital Filters to Prevent Overflow 364
Scaling Rules 365
The Scaling Operation 366
Scaling State Variable Descriptions 366
9 7 The Tradeoff Between Overflow and Roundoff Noise 371
9 8 Reachable Sets: A Geometrical Interpretation of Scaling 377
Geometry of Error Ellipsoids 384
9 9 The Synthesis of Minimum Roundoff Noise State Variable
Filters 385
The Optimal (Unequal) Word Length (OWL) Case 386
The Equal Word Length (EWL) Case 387
Minimization of the Geometric Mean of K;W 387
Minimization of the Arithmetic Mean of K, W/( 388
9 10 Properties of Minimum Roundoff Noise Structures 389
Frequency Transformations of Minimum Roundoff Noise
Filters 390
State Variable and Nonstate Variable Nodes 391
9 11 Computation of K and W 392
9 12 Sectional Optimal Structures 393
Normal Form (Unsealed) 396
9 13 Noise Gain Formulas for Second-Order Minimum Noise
Filters 398
9 14 Block Optimal Structures 400
9 15 An Example 402
Sectional Optimal Design 405
9 16 Coefficient Sensitivity of Digital Filters 407
Coefficient Quantization Effects Measured by Pole-Zero
Movement 409
9 17 The Deadband Effect: Constant Input Limit Cycles 410
PROBLEMS 417
to
Digital Processing Structures
427
10 1 Introduction 427
Hardware Implementations for a Sum of Products 429
10 2 Block Processing Digital Filters 433
Hardware Considerations 438
Summary 440
CONTENTS
xiii
10 3 Multirate Digital Filters 440
Decimation 440
Interpolator Structures 447
10 4 Orthogonal Filter Structures 449
Characterization of Orthogonal Filter Structures 451
Orthogonal All-Pass Filters 452
Examples of Filters in 30 454
Connections of Orthogonal, All-Pass Filters 455
Decomposition of Orthogonal, All-Pass Filters into
Primitives 458
Processor Modules for Width Two Realizations 464
Synthesis of Orthogonal Filters—General Case 464
Overflow Oscillations 469
Noise Gain 470
PROBLEMS 471
Appendix ioa Orthogonal Matrices and
All-Pass Filters 480
f]
Spectral Estimation
483
11 1 Introduction to Spectral Estimation 483
Energy Spectral Density (ESD) 484
Power Spectral Density (PSD) 484
Approaches to Spectral Estimation 488
Estimation Using the ESD 489
Indirect Estimation from Autocorrelation Values 489
Sinusoidal Data Fitting 490
Whitening the Data (Analysis/Synthesis) 491
Issues 493
11 2 The Periodogram and MA Spectra 494
Bias 495
Variance 501
Bias versus Variance 503
Welch’s Method 504
Use of the Fast Fourier Transform 505
11 3 Autoregressive Models 506
Whitening and Prediction Problems 508
Theoretical Issues Relating Analysis and Synthesis
Cases 516
Lattices and the Levinson Algorithm 520
xiv
CONTENTS
The Lattice Form of the Levinson Algorithm 524
Inverting the Levinson Algorithm 525
The Burg Spectral Estimator 528
Coding Spectra with Reflection Coefficients 532
The Singular Case and Line Spectra 533
The Pisarenko Model 535
Singular Value Decomposition and Sensitivity 538
The Maximum Entropy Property 542
A Classification of Spectra 544
11 4 ARMA Spectra and an Analysis/Synthesis Point of View 546
Analysis 547
Synthesis 548
Extension Problem 548
Application 549
PROBLEMS 550
References 559
Suggested Readings 567
|
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| indexdate | 2024-07-09T16:09:34Z |
| institution | BVB |
| isbn | 0201163500 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-002608709 |
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| physical | XIV, 578 S. |
| publishDate | 1987 |
| publishDateSearch | 1987 |
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| publisher | Addison-Wesley |
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| series2 | Addison-Wesley series in electrical engineering |
| spelling | Roberts, Richard A. Verfasser aut Digital signal processing Richard A. Roberts ; Clifford T. Mullis Repr. with corr. Reading, Mass. u.a. Addison-Wesley 1987 XIV, 578 S. txt rdacontent n rdamedia nc rdacarrier Addison-Wesley series in electrical engineering Traitement du signal - Techniques numériques ram Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s DE-604 Mullis, Clifford T. Verfasser aut HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002608709&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Roberts, Richard A. Mullis, Clifford T. Digital signal processing Traitement du signal - Techniques numériques ram Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| subject_GND | (DE-588)4113314-6 |
| title | Digital signal processing |
| title_auth | Digital signal processing |
| title_exact_search | Digital signal processing |
| title_full | Digital signal processing Richard A. Roberts ; Clifford T. Mullis |
| title_fullStr | Digital signal processing Richard A. Roberts ; Clifford T. Mullis |
| title_full_unstemmed | Digital signal processing Richard A. Roberts ; Clifford T. Mullis |
| title_short | Digital signal processing |
| title_sort | digital signal processing |
| topic | Traitement du signal - Techniques numériques ram Signal processing Digital techniques Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| topic_facet | Traitement du signal - Techniques numériques Signal processing Digital techniques Digitale Signalverarbeitung |
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