Signal Processing Algorithms for Communication and Radar Systems

✍ Scribed by Kung Yao

• Publisher: Cambridge University Press
• Year: 2019
• Tongue: English
• Leaves: 346
• Category: Library

✦ Synopsis

Based on time-tested course material, this authoritative text examines the key topics, advanced mathematical concepts, and novel analytical tools needed to understand modern communication and radar systems. It covers computational linear algebra theory, VLSI systolic algorithms and designs, practical aspects of chaos theory, and applications in beamforming and array processing, and uses a variety of CDMA codes, as well as acoustic sensing and beamforming algorithms to illustrate key concepts. Classical topics such as spectral analysis are also covered, and each chapter includes a wealth of homework problems. This is an invaluable text for graduate students in electrical and computer engineering, and an essential reference for practitioners in communications and radar engineering.

✦ Table of Contents

Cover
Endorsements
Front Matter
Signal Processing Algorithms
for Communication and Radar Systems
Copyright
Dedication
Contents
Preface
1 Applications of Spectral Analysis
2 Discrete Fourier Transform, Fast
Fourier Transform, and Convolution
3 Spectral Analysis via
Continuous/Discrete
Fourier Transformation
4 Parametric Spectral Analysis
5 Time-Frequency Spectral Analysis
6 Wavelets and Subband
Decomposition
7 Beamforming and Array Processing
8 Introduction to Compressive Sampling
9 Chaotic Signal Analysis and
Processing
10 Computational Linear Algebra
11 Applications of LS and SVD
Techniques
12 Quantization, Saturation, and Scaling
13 Introduction to Systolic Arrays
14 Systolic Array Design by Dependence
Graph Mapping
15 Systolic Array Processing for
Least-Squares Estimation
16 Systolic Algorithms and Architectures
for Communication and Radar
Systems
Index