Signal Processing Algorithms for Communication and Radar Systems

An authoritative text covering the key topics, concepts and analytical tools needed to understand modern communication and radar systems.

Kung Yao (Author)

9781108423908, Cambridge University Press

Hardback, published 2 May 2019

340 pages, 123 b/w illus.
25.3 x 17.8 x 2 cm, 0.83 kg

'Yao has written an extensive and inclusive book on signal processing, focused on the aspects most relevant to communication and radar systems and based on his teaching and research experience. Beyond being valuable for an advanced course on signal processing, the thoroughness of its mathematical treatment, the inclusion of topics usually not found in textbooks, and the wealth of homework problems, make this book an excellent resource for reference and self-study.' Ezio Biglieri, Universitat Pompeu Fabra

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.

1. Applications of spectral analysis
2. DFT, FFT, 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.

Subject Areas: Computer networking & communications [UT], Radar [TJKD], Communications engineering / telecommunications [TJK], Electrical engineering [THR]