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Partial-Update Adaptive Signal Processing
Free shipping
free shipping in Poland for all orders over 500 PLN
Same day shipping
If your payment will be credited to our account by 11:00
14 days for return
Each consumer can return the purchased goods within 14 days
Partial-Update Adaptive Signal Processing provides a comprehensive coverage of the key partial updating schemes, channel equalization and multiuser detection. It also examines convergence and centralization of partial update algorithms.
Features:
. Advanced analysis and design tools
. Application examples illustrating the use of partial-update adaptive signal processing
. MATLAB codes for developed algorithms
R & D engineers and graduate students.
"This is a very systematic and methodical treatment of the ad hoc sensor networks. I am very happy to be on the shelf. gather dust, "" Professor AG Constantinides, Imperial College, London
About the author:
Kutluyil Dogançay is an associate professor of Electrical Engineering at the University of South Australia. His research interests span is a consultant to defense and private industry. He was the Signal Processing and Communications Program Chair of IDC Conference 2007, and is currently a chair of the IEEE South Australia Communications and Signal Processing Chapter.
* Advanced analysis and design tools
* Algorithm summaries in tabular format
* Case studies illustrate the application of the partial adaptive signal processing
* MATLAB code listings on an accompanying website
Introduction; Approaches to Partial Coefficient Updates; Convergence and Stability Analysis; Partial-Update Adaptive Filters; Selected Applications; Overview of Fast Sorting Algorithms
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