Discrete Signals and Inverse Problems: An Introduction for Engineers and Scientists 离散信号与逆问题：工程师与科学家导论
点此进入淘宝搜索页搜索分類: 图书,进口原版书,科学与技术 Science & Techology ,
作者： J. C. Santamarina, Dante Fratta著
出 版 社：
出版时间： 2005-9-1字数：版次： 1页数： 350印刷时间： 2005/09/01开本： 16开印次： 1纸张： 胶版纸I S B N ： 9780470021873包装： 精装编辑推荐
作者简介：
J. Carlos Santamarina, Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0355, USA
Dante Fratta, 3418H CEBA, Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
内容简介
Discrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs.
Based on the original ‘Introduction to Discrete Signals and Inverse Problems in Civil Engineering’, this expanded and enriched version:
combines discrete signal processing and inverse problem solving in one book
covers the most versatile tools that are needed to process engineering and scientific data .
presents step-by-step ‘implementation procedures’ for the most relevant algorithms .
provides instructive figures, solved examples and insightful exercises
Discrete Signals and Inverse Problems is essential reading for experimental researchers and practicing engineers in civil, mechanical and electrical engineering, non-destructive testing and instrumentation. This book is also an excellent reference for advanced undergraduate students and graduate students in engineering and science.
目录
Preface
Brief Comments on Notation
1 Introduetion
1.1 Signals, Systems, and Problems
1.2 Signals and Signal Processing - Application Examples
1.3 Inverse Problems - Application Examples
1.4 History - Discrete Mathematical Representation
1.5 Summary
Solved Problems
Additional Problems
2 Mathematical Concepts
2.1 Complex Numbers and Exponential Functions
2.2 Matrix Algebra
2.3 Derivatives - Constrained Optimization
2.4 Summary
Further Reading
Solved Problems
Additional Problems
3 Signals and Systems
3.1 Signals: Types and Characteristics
3.2 Implications of Digitization - Aliasing
3.3 Elemental Signals and Other Important Signals
3.4 Signal Analysis with Elemental Signals
3.5 Systems: Characteristics and Properties
3.6 Combination of Systems
3.7 Summary
Further Reading
Solved Problems
Additional Problems
4 Time Domain Analyses of Signals and Systems
4.1 Signals and Noise
4.2 Cross- and Autocorrelation: Identifying Similarities
4.3 The Impulse Response - System Identification
4.4 Convolution: Computing the Output Signal
4.5 Time Domain Operations in Matrix Form
4.6 Summary
Further Reading
Solved Problems
Additional Problems
5 Frequency Domain Analysis of Signals (Discrete Fourier Transform)
5.1 Orthogonal Functions - Fourier Series
5.2 Discrete Fourier Analysis and Synthesis
5.3 Characteristics of the Discrete Fourier Transform
5.4 Computation in Matrix Form
5.5 Truncation, Leakage, and Windows
5.6 Padding
5.7 Plots
5.8 The Two-Dimensional Discrete Fourier Transform
5.9 Procedure for Signal Recording
5.10 Summary
Further Reading and References
Solved Problems
Additional Problems
6 Frequency Domain Analysis of Systems
6.1 Sinusoids and Systems - Eigenfunctions
6.2 Frequency Response
6.3 Convolution
6.4 Cross-Spectral and Autospectral Densities
6.5 Filters in the Frequency Domain - Noise Control
6.6 Determining H with Noiseless Signals (Phase Urea'rapping)
6.7 Determining H_ with Noisy Signals (Coherence)
6.8 Summary
Further Reading and References
Solved Problems
Additional Problems
7 Time Variation and Nonlinearily
8 Concepts in Discrete Inverse Problems
9 Solution by Matrix Inversion
10 Other Inversion Methods
11 Strategy for Inverse Problem Solving
Index
