|
Sanjit K. Mitra (ed.), James F. Kaiser (ed.), "Handbook for Digital Signal Processing" |
|
 John
Wiley & Sons, New York, USA, 1993 Authors: |
Glossary of Notations and Abbreviations (XXV) |
| 1. Introduction (1) | |
| 1.1. The Need for Signal Processing (2) | |
| 1.2. Why Digital Signal Processing? (13) | |
| 1.3. Applications of Signal Processing (17) | |
| 1.4. Typical Applications of Digital Signal Processing (35) | |
| 1.5. Notations (48) | |
| 1.6. Organization and Scope of the Handbook (49) | |
| References (51) | |
| General References (53) | |
| 2. Mathematical Foundations of Signal Processing (57) | |
| 2.1. Signals (57) | |
| 2.2. Digital Signal Processing - Definition and Brief History (61) | |
| 2.3. Time-Domain Representation of Signals and Filters (62) | |
| 2.4. Frequency-Domain Representation of Signals and Filters (67) | |
| 2.5. The z- and Laplace Transforms (70) | |
| 2.6. Properties of the z- and Laplace Transforms (73) | |
| 2.7. Real and Complex Convolution (76) | |
| 2.8. Finite-Dimensional Filters (78) | |
| 2.9. Ideal Sampling (80) | |
| 2.10. Reconstruction (82) | |
| 2.11. The Pulse Transfer Function (87) | |
| 2.12. The Discrete Fourier Transform (89) | |
| 2.13. Time-Limited Signals (92) | |
| 2.14. Random Signals (93) | |
| 2.15. Summary - The Six Domains of Signal Processing (97) | |
| References (98) | |
| 3. Linear Time-Invariant Discrete-Time Systems (101) | |
| 3.1. System Classification (101) | |
| 3.2. Time-Domain Representation of Linear Systems (105) | |
| 3.3. Classification and Properties of LTI Discrete-Time Systems (111) | |
| 3.4. Transform-Domain Representation of Linear Systems (114) | |
| 3.5. Structural Representations of Linear Systems (125) | |
| 3.6. State-Space Representation of Linear Systems (142) | |
| 3.7. Block processing (147) | |
| 3.8. Summary and Future Trends (153) | |
| References (153) | |
| 4. Finite Impulse Response Filter Design (155) | |
| 4.1. Digital Filter Design Problem (155) | |
| 4.2. Why FIR Filters? (163) | |
| 4.3. Characteristics of Linear-Phase FIR Filters (164) | |
| 4.4. FIR Filter Design by Windowing (174) | |
| 4.5. Design of FIR Filters in the Least-Mean-Square Sense (189) | |
| 4.6. Maximally Flat FIR Filters (193) | |
| 4.7. Some Simple FIR Filter Designs (195) | |
| 4.8. Design of FIR Filters in the Minimax Sense (198) | |
| 4.9. Design of Minimum-Phase FIR Filters (214) | |
| 4.10. Design of FIR with Constraints in the Time or Frequency Domain (218) | |
| 4.11. Design of FIR Filters Using Periodic Subfilters as Basic Building Blocks (231) | |
| 4.12. Design of FIR Filters Using Identical Subfilters as Basic Building Blocks (256) | |
| 4.13. Summary (271) | |
| References (272) | |
| 5. Infinite Impulse Response Digital Filter Design (279) | |
| 5.1. Introduction (279) | |
| 5.2. IIR Digital Filter Design Based on Transformation of an Analog Filter (280) | |
| 5.3. Analog Lowpass Filter Designs (283) | |
| 5.4. Analog-to-Digital Transformations (293) | |
| 5.5. Design Examples for Lowpass Digital Filters (304) | |
| 5.6. Digital Frequency Transformations (319) | |
| 5.7. Phase Equalization (322) | |
| 5.8. Computer-Aided Design of IIR Filters (327) | |
| 5.9. Summary and Discussion (332) | |
| References (333) | |
| 6. Digital Filter Implementation Considerations (337) | |
| 6.1. Introduction (337) | |
| 6.2. Number Representation and Arithmetic Schemes (338) | |
| 6.3. Characteristics of Filter Structures (344) | |
| 6.4. Structural Transformations (353) | |
| 6.5. Block Implementation (363) | |
| 6.6. Maximum Sampling Rate and Multiprocessor Implementations (366) | |
| 6.7. Quantization and Overflow Operations (372) | |
| 6.8. Coefficient Sensitivity (382) | |
| 6.9. Input Quantization Error (390) | |
| 6.10. Roundoff Noise and Dynamic Range Considerations (393) | |
| 6.11. Roundoff Noise Analysis of Floating-Point Filters (409) | |
| 6.12. Concluding Remarks (413) | |
| References (413) | |
| 7. Robust Digital Filter Structures (419) | |
| 7.1. Introduction (419) | |
| 7.2. Roundoff Noise Reduction Using Error Feedback (421) | |
| 7.3. Cascade Form Digital Filter Structures (425) | |
| 7.4. State-Space Approach for Low-Noise Design (428) | |
| 7.5. Second-Order IIR Structures with Low Sensitivity (432) | |
| 7.6. Low-Sensitivity IIR Designs Based on Structural Passivity (434) | |
| 7.7. Wave Digital Filters (459) | |
| 7.8. Passive IIR Lattice Structures Based on LBR Building Blocks (466) | |
| 7.9. Roundoff Noise in Structurally Passive and Lossless Systems (474) | |
| 7.10. IIR Filter Structures Free from Limit Cycles (479) | |
| 7.11. Concluding Remarks (486) | |
| References (486) | |
| 8. Fast DFT and Convolution Algorithms (491) | |
| 8.1. Computation of Convolution and Filtering (493) | |
| 8.2. Fast Computation of the DFT (517) | |
| 8.3. Other Transforms (553) | |
| 8.4. Conclusion (561) | |
| References (562) | |
| 9. Finite Arithmetic Concepts (611) | |
| 9.1. Introduction (611) | |
| 9.2. Fundamentals of Modular Arithmetic (613) | |
| 9.3. The Design of VLSI Digital Filters Using RNS Arithmetic (623) | |
| 9.4. Fault-Tolerant Systems Designed with RNS Arithmetic (634) | |
| 9.5. Complex RNS Arithmetic (646) | |
| 9.6. Design Example - A RNS Digital Correlator (663) | |
| 9.7. Summary (673) | |
| References (674) | |
| 10. Signal Conditioning and Interface Circuits (677) | |
| 10.1. Anti-aliasing Filters (677) | |
| 10.2. Analog-to-Digital Converters (690) | |
| 10.3. Digital-to-Analog Converters (708) | |
| 10.4. Smoothing Filters (716) | |
| 10.5. Summary (718) | |
| References (719) | |
| 11. Hardware and Architecture (721) | |
| 11.1. Why Hardware? (721) | |
| 11.2. Digital Signal Processing Computational Requirements (723) | |
| 11.3. General Purpose DSP Chips and Development Systems (728) | |
| 11.4. Custom Hardware (754) | |
| 11.5. Summary (777) | |
| References (778) | |
| 12. Software Considerations (783) | |
| 12.1. Introduction (783) | |
| 12.2. Implementation on a General Purpose Computer (787) | |
| 12.3. Parallel Computer Implementation (792) | |
| 12.4. Review of Representative DSP Chip Programming (807) | |
| 12.5. Examples of DSP Chip Implementation of FIR Filters (854) | |
| 12.6. Examples of DSP Chip Implementation of IIR Filters (861) | |
| 12.7. Examples of DSP Chip Implementation of FFT Algorithms (871) | |
| References (904) | |
| 13. Special Filter Design (907) | |
| 13.1. Introduction (907) | |
| 13.2. Design of Hilbert Transformers (909) | |
| 13.3. Differentiators and Integrators (931) | |
| 13.4. Smoothing Filters (940) | |
| 13.5. Noninteger Delay Filters (948) | |
| 13.6. Median Filters (953) | |
| 13.7. Concluding Remarks (976) | |
| References (978) | |
| 14. Multirate Signal Processing (981) | |
| 14.1. Introduction (981) | |
| 14.2. Sampling Rate Conversion (983) | |
| 14.3. Filter Design for Sampling Rate Alteration (1013) | |
| 14.4. Multistage Implementation of Rate Conversion (1031) | |
| 14.5. Multirate Filter Banks (1041) | |
| 14.6. Applications (1070) | |
| 14.7. Summary (1079) | |
| References (1079) | |
| 15. Adaptive Filtering (1085) | |
| 15.1. Introduction (1085) | |
| 15.2. Adaptive Filters Basics (1086) | |
| 15.3. Stochastic-Gradient (LMS) Adaptive Algorithms (1092) | |
| 15.4. Recursive Least-Squares Adaptive Algorithms (1104) | |
| 15.5. Frequency-Domain and Block Adaptive Filters (1121) | |
| 15.6. Applications (1129) | |
| 15.7. Conclusion (1138) | |
| References (1138) | |
| 16. Spectral Analysis (1143) | |
| 16.1. Introduction (1143) | |
| 16.2. Fourier transform of Finite-Time Signals (1146) | |
| 16.3. Fourier Analysis of Random Signals (1157) | |
| 16.4. Parametric Spectrum Analysis of Random Signals (1169) | |
| 16.5. Parametric Spectrum Analysis of Sinusoidal Signals (1191) | |
| 16.6. Spectrum Analysis for Sensor Array Processing (1225) | |
| 16.7. Summary (1237) | |
| References (1237) | |
| Index (1243) | |
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