The first in a two-volume set introducing recent advances in signal processing. This text focuses on channel identification and equalization for single-user or point-to-point links. Brings together research scattered across journals worldwide. DLC: Communications.

Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization

Computers & Technology

Georgios B. Giannakis

Yingbo Hua

Petre Stoica

Lang Tong

Networking & Cloud Computing

PRENTICE/HALL

The second in a two-volume series introducing recent advances in signal processing. This volume focuses on single and multi-user communication systems, presenting such topics as time-varying channel modeling, parallel factor analysis tools, and signal processing issues at the network layer. DLC: Communications.

Signal Processing Advances in Wireless and Mobile Communications, Volume 2: Trends in Single- and Multi-User Systems

For introductory courses on Spectral Analysis at the graduate or advanced undergraduate level. An accessible text for students, researchers, and practitioners in the general area of Signal Processing, is an expanded edition of the text "Introduction to Spectral Analysis" by the same authors (Prentice-Hall, 1997). A host of new complements and exercises along with an appendix on model order selection have been included in the book to make it a more up-to-date and useful text as well as a more self-contained learning tool for a diversity of students and researchers. The text presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it covers both classical and modern approaches of spectral analysis. Topics covered include nonparametric spectrum analysis (both periodogram-based approaches and filter-bank approaches), parametric spectral analysis using rational spectral models (AR, MA, and ARMA models), parametric methods for line spectra, and spatial (array) signal processing. Analytical and MATLAB-based computer exercises are included to develop both analytical skills and hands-on experience.

Spectral Analysis of Signals

Engineering & Transportation

Engineering

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