Title:
Discrete time signal processing
Personal Author:
Edition:
2nd ed.
Publication Information:
New Jersey : Prentice-Hall, 1999
ISBN:
9780137549207
9780130834430
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000004504522 | TK5102.5 O65 1999 | Open Access Book | Book | Searching... |
Searching... | 33000000009439 | TK5102.5 O65 1999 | Open Access Book | Gift Book | Searching... |
Searching... | 30000004504837 | TK5102.5 O65 1999 | Open Access Book | Book | Searching... |
Searching... | 30000004532507 | TK5102.5 O65 1999 | Open Access Book | Book | Searching... |
Searching... | 30000004504480 | TK5102.5 O65 1999 | Open Access Book | Book | Searching... |
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On Order
Summary
Summary
MKT_DESCRIP: 'A text for an undergraduate or early graduate course for students with a background in advanced calculus, the elements of complex numbers, and variables. Revised from the 1989 edition not so much with new information, which has not changed much at the introductory level, bu
Table of Contents
1 Introduction |
2 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 |
3 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 |
4 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 |
5 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 |
6 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 |
7 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 |
8 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 |
9 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 |
10 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 Nonsta |