Signal Processing and Linear Systems

2. Auflage 2023
ISBN: 978-0-19-029904-0
Verlag: Oxford University Press

Buch, Englisch, 1152 Seiten, Format (B × H): 254 mm x 211 mm, Gewicht: 2245 g

This second edition contains much of the content of Linear Systems and Signals, Third Edition, by the same authors, with added chapters on analog and digital filters and digital signal processing, plus additional applications to communications and controls. Unlike Linear Systems and Signals, Third Edition, in this book the Laplace transform follows Fourier. This book contains enough material on discrete-time systems to be used in a traditional course in Signals and Systems and in an introductory course in Digital Signal Processing.

Autoren/Hrsg.

Lathi, B. P.

Green, Roger

Inhaltsverzeichnis

- Chapter B: Background

- B.1 Complex Numbers

- B.2 Sinusoids

- B.3 Sketching Signals

- B.4 Cramer's Rule

- B.5 Partial Fraction Expansion

- B.6 Vectors and Matrices

- B.7 MATLAB: Elementary Operations

- B.8 Appendix: Useful Mathematical Formulas

- Chapter 1: Signals and Systems

- 1.1 Size of a Signal

- 1.2 Some Useful Signal Operations

- 1.3 Classification of Signals

- 1.4 Some Useful Signal Models

- 1.5 Even and Odd Functions

- 1.6 Systems

- 1.7 Classification of Systems

- 1.8 System Model: Input-Output Description

- 1.9 Internal and External Descriptions of a System

- 1.10 Internal Description: The State-Space Description

- 1.11 MATLAB: Working with Functions

- 1.12 Summary

- Chapter 2: Time-Domain Analysis of Continuous-Time Systems

- 2.1 Introduction

- 2.2 System Response to Internal Conditions: The Zero-Input Response

- 2.3 The Unit Impulse Response h(t)

- 2.4 System Response to External Input: The Zero-State Response

- 2.5 System Stability

- 2.6 Intuitive Insights into System Behavior

- 2.7 MATLAB: M-Files

- 2.8 Appendix: Determining the Impulse Response

- 2.9 Summary

- Chapter 3: Signal Representation by Fourier Series

- 3.1 Signals as Vectors

- 3.2 Signal Comparison: Correlation

- 3.3 Signal Representation by an Orthogonal Signal Set

- 3.4 Trigonometric Fourier Series

- 3.5 Existence and Convergence of the Fourier Series

- 3.6 Exponential Fourier Series

- 3.7 LTIC System Response to Periodic Inputs

- 3.8 Numerical Computation of Dn

- 3.9 MATLAB: Fourier Series Applications

- 3.10 Summary

- Chapter 4: Continuous-Time Signal Analysis: The Fourier Transform

- 4.1 Aperiodic Signal Representation by the Fourier Integral

- 4.2 Transforms of Some Useful Functions

- 4.3 Some Properties of the Fourier Transform

- 4.4 Signal Transmission Through LTIC Systems

- 4.5 Ideal and Practical Filters

- 4.6 Signal Energy

- 4.7 Application to Communications: Amplitude Modulation

- 4.8 Angle Modulation

- 4.9 Data Truncation: Window Functions

- 4.10 MATLAB: Fourier Transform Topics

- 4.11 Summary

- Chapter 5: Sampling

- 5.1 The Sampling Theorem

- 5.2 Signal Reconstruction

- 5.3 Analog-to-Digital (A/D) Conversion

- 5.4 Dual of Time Sampling: Spectral Sampling

- 5.5 Numerical Computation of the Fourier Transform: The Discrete Fourier Transform

- 5.6 The Fast Fourier Transform (FFT)

- 5.7 MATLAB: The Discrete Fourier Transform

- 5.8 Summary

- Chapter 6: Continuous-Time System Analysis Using the Laplace Transform

- 6.1 The Laplace Transform

- 6.2 Some Properties of the Laplace Transform

- 6.3 Solution of Differential and Integro-Differential Equations

- 6.3.4 Inverse Systems

- 6.4 Analysis of Electrical Networks: The Transformed Network

- 6.5 Block Diagrams

- 6.6 System Realization

- 6.7 Application to Feedback and Controls

- 6.8 The Bilateral Laplace Transform

- 6.9 Summary

- Chapter 7: Frequency Response and Analog Filters

- 7.1 Frequency Response of an LTIC System

- 7.2 Bode Plots

- 7.3 Control System Design Using Frequency Response

- 7.4 Filter Design by Placement of Poles and Zeros of H(s)

- 7.5 Butterworth Filters

- 7.6 Chebyshev Filters

- 7.7 Frequency Transformations

- 7.8 Filters to Satisfy Distortionless Transmission Conditions

- 7.9 MATLAB: Continuous-Time Filters

- 7.10 Summary

- Chapter 8: Discrete-Time Signals and Systems

- 8.1 Introduction

- 8.2 Useful Signal Operations

- 8.3 Some Useful Discrete-Time Signal Models

- 8.4 Aliasing and Sampling Rate

- 8.5 Examples of Discrete-Time Systems

- 8.6 MATLAB: Representing, Manipulating, and Plotting Discrete-Time Signals

- 8.7 Summary

- Chapter 9: Time-Domain Analysis of Discrete-Time Systems

- 9.1 Classification of Discrete-Time Systems

- 9.2 Discrete-Time System Equations

- 9.3 System Response to Internal Conditions: The Zero-Input Response

- 9.4 The Unit Impulse Response h[n]

- 9.5 System Response to External Input: The Zero-State Response

- 9.6 System Stability

- 9.7 Intuitive Insights into System Behavior

- 9.8 MATLAB: Discrete-Time Systems

- 9.9 Appendix: Impulse Response for a Special Case

- 9.10 Summary

- Chapter 10: Fourier Analysis of Discrete-Time Signals

- 10.1 Periodic Signal Representation by Discrete-Time Fourier Series

- 10.2 Aperiodic Signal Representation by Fourier Integral

- 10.3 Properties of the DTFT

- 10.4 DTFT Connection with the CTFT

- 10.5 LTI Discrete-Time System Analysis by

- 10.6 Signal Processing by the DFT and FFT

- 10.7 Generalization of the DTFT to the z-Transform

- 10.8 MATLAB: Working with the DTFS and the DTFT

- 10.9 Summary

- Chapter 11: Discrete-Time System Analysis Using the z-Transform

- 11.1 The z-Transform

- 11.2 Some Properties of the z-Transform

- 11.3 z-Transform Solution of Linear Difference Equations

- 11.4 System Realization

- 11.5 Connecting the Laplace and z-Transforms

- 11.6 Sampled-Data (Hybrid) Systems

- 11.7 The Bilateral z-Transform

- 11.8 Summary

- Chapter 12: Frequency Response and Digital Filters

- 12.1 Frequency Response of Discrete-Time Systems

- 12.2 Frequency Response from Pole-Zero Locations

- 12.3 Digital Filters

- 12.4 Filter Design Criteria

- 12.5 Recursive Filter Design: The Impulse Invariance Method

- 12.6 Recursive Filter Design: The Bilinear Transformation Method

- 12.7 Nonrecursive Filters

- 12.8 Nonrecursive Filter Design

- 12.9 MATLAB: Designing High-Order Filters

- 12.10 Summary

- Chapter 13: State-Space Analysis

- 13.1 Mathematical Preliminaries

- 13.2 Introduction to State Space

- 13.3 A Systematic Procedure to Determine State Equations

- 13.4 Solution of State Equations

- 13.5 Linear Transformation of a State Vector

- 13.6 Controllability and Observability

- 13.7 State-Space Analysis of Discrete-Time Systems

- 13.8 MATLAB: Toolboxes and State-Space Analysis

- 13.9 Summary

Über Autor(innen)

B. P. Lathi is Professor Emeritus of Electrical Engineering at California State University, Sacramento. Dr. Lathi is renowned for his excellent writing, and each of his books has found significant markets in the crowded upper-level electrical engineering segment.

Roger Green is an Associate Professor of Electrical Engineering at North Dakota State University. He has published numerous scholarly articles and given presentations on MATLAB, Signal Processing, and Fourier Analysis as a member of both the IEEE and ASEE. Along with four colleagues, he is the proud owner of a patent for a Vector Calibration System, designed to identify vector mismatch between a plurality of signal paths and frequencies.