Signal Processing Algorithms for Communication and Radar Systems

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.

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).