Discrete-Time Signal Processing
by Oppenheim, Alan V.; Schafer, Ronald W.Edition: 3rd
Format: Hardcover
Pub. Date: 2009-08-18
Publisher(s): Pearson
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Summary
THE definitive, authoritative guide to DSP - ideal for those with an introductory-level knowledge of signals and systems - but not necessarily DSP. Written by a prominent, standard-setting team.Provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. Focuses on the general and universal concepts in discrete-time signal processing -- making the content vital and relevant to the new challenges arising in the field -withoutlimiting itself to specific technologies with relatively short life spans. Discusses the wide range of present and future applications of the technology, and features a wealth of examples.For anyone wanting a thorough introduction to Discrete-Time Signal Processing.
Table of Contents
| Previous edition TOC | |
| Introduction | |
| Discrete-Time Signals and Systems | |
| Introduction | |
| Discrete-time Signals: Sequences | |
| Discrete-time Systems | |
| Linear Time-Invariant Systems | |
| Properties of Linear Time-Invariant Systems | |
| Linear Constant-Coefficient Difference Equations | |
| Frequency-Domain Representation of Discrete-Time Signals and Systems | |
| Representation of Sequence by Fourier Transforms | |
| Symmetry Properties of the Fourier Transform | |
| Fourier Transform Theorems | |
| Discrete-Time Random Signals | |
| Summary | |
| The z-Transform | |
| Introduction | |
| The z-Transform | |
| Properties of the Region of Convergence for the z-Transform | |
| The Inverse z-Transform | |
| z-Transform Properties | |
| Summary | |
| Sampling of Continuous-Time Signals | |
| Introduction | |
| Periodic Sampling | |
| Frequency-Domain Representation of Sampling | |
| Reconstruction of a Bandlimited Signal from its Samples | |
| Discrete-Time Processing of Continuous-Time Signals | |
| Continuous-Time Processing of Discrete-Time Signals | |
| Changing the Sampling Rate Using Discrete-Time Processing | |
| Practical Considerations | |
| Oversampling and Noise Shaping | |
| Summary | |
| Transform Analysis of Linear Time-Invariant Systems | |
| Introduction | |
| The Frequency Response of LTI Systems | |
| System Functions for Systems Characterized by Linea | |
| Frequency Response for Rational System Functions | |
| Relationship Between Magnitude and Phase | |
| All-Pass Systems | |
| Minimum-Phase Systems | |
| Linear Systems with Generalized Linear Phase | |
| Summary | |
| Structures for Discrete-Time Systems | |
| Introduction | |
| Block Diagram Representation of Linear Constant-Coefficient Difference Equations | |
| Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations | |
| Basic Structures for IIR Systems | |
| Transposed Forms | |
| Basic Network Structures for FIR Systems | |
| Overview of Finite-Precision Numerical Effects | |
| The Effects of Coefficient Quantization | |
| Effects of Roundoff Noise in Digital Filters | |
| Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters | |
| Summary | |
| Filter Design Techniques | |
| Introduction | |
| Design of Discrete-Time IIR Filters from Continuous-Time Filters | |
| Design of FIR Filters by Windowing | |
| Examples of FIR Filter Design by the Kaiser Window Method | |
| Optimum Approximations of FIR Filters | |
| Examples of FIR Equiripple Approximation | |
| Comments on IIR and FIR Digital Filters | |
| Summary | |
| The Discrete Fourier Transform | |
| Introduction | |
| Representation of Periodic Sequences: the Discrete Fourier Series | |
| Summary of Properties of the DFS Representation of Periodic Sequences | |
| The Fourier Transform of Periodic Signals | |
| Sampling the Fourier Transform | |
| Fourier Representation of Finite-Duration Sequences: The Discrete-Fourier Transform | |
| Properties of the Discrete Fourier Transform | |
| Summary of Properties of the Discrete Fourier Transform | |
| Linear Convolution Using the Discrete Fourier Transform | |
| The Discrete Cosine Transform (DCT) | |
| Summary | |
| Computation of the Discrete Fourier Transform | |
| Introduction | |
| Efficient Computation of the Discrete Fourier Transform | |
| The Goertzel Algorithm Decimation-in-Time FFT Algorithms | |
| Decimation-in-Frequency FFT Algorithms | |
| Practical Considerations Implementation of the DFT Using Convolution | |
| Summary | |
| Fourier Analysis of Signals Using the Discrete Fourier Transform | |
| Introduction | |
| Fourier Analysis of Signals Using the DFT | |
| DFT Analysis of Sinusoidal Signals | |
| The Time-Dependent Fourier Transform | |
| Block Convolution Using the Time-Dependent Fourier Transform | |
| Fourier Analysis of Nonstationary Signals | |
| Fourier Analysis of Stationary Random Signals: the Periodogram | |
| Spectrum Analysis of Random Signals Using Estimates of the Autocorrelation Sequence | |
| Summary | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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