Kung Yao

Signal Processing Algorithms for Communication and Radar Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. Mai 2019
• Englisch
• ISBN-13: 9781108540261
• Artikelnr.: 56524055

Autorenporträt

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).

Inhaltsangabe

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.