Table of Contents

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.

Promotional Information

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

About the Author

Kung Yao is a Distinguished Professor Emeritus in the Department of Electrical and Computer Engineering at University of California, Los Angeles, and a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He is the co-author of Detection and Estimation in Communication and Radar Systems (Cambridge, 2013).

Reviews

'This book arises from the lifelong teaching of a highly regarded educator with topics of essential foundation to readers of interests to signal processing algorithms. It also contains unique treatments from a respected researcher with an insight one cannot find elsewhere.' K. J. Ray Liu, University of Maryland

'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