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Adaptive signal processing (ASP) and iterative signal processing (ISP) are important tech-niques in improving the performance of receivers in communication systems. Using exam-ples from practical transceiver designs, this book describes the fundamental theory and practical aspects of both methods, providing a link between the two where possible.
Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.
Explains the fundamental concepts of adaptive signal processing. Provides robust algorithms and evaluation tools for a wide range of application scenarios. Uses a simple mathematical language but adopts a rigorous approach. Includes detailed appendices, ensuring the text is self-contained.
- Aurelio Uncini
By adaptive signal processing, we mean, in general, adaptive ?ltering.In- known environments where we need to model, identify, or track time-varying channels, adaptive ?ltering has been proven to be an e?ective and powerful tool.
Over the lasl 10 years, adaptive filters have become standard components in telephony, data communications, and signal detection and tracking systems. Their use and consumer acceptance will undoubtedly only increase in the future.
The fundamental relationships for the derivation and analysis of adaptive algorithms in the complex domain are established based on Wirtinger calculus, and their successful application is demonstrated for two basic problems in adaptive signal processing: filtering and independent component analysis (ICA).
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May 25, 2016 · Adaptive Signal Processing. By Simon Haykin. In historic terms, the topic of adaptive signal processing—also frequently referred to as adaptive filtering—started with the least-mean-square (LMS) algorithm, which was first described in a conference paper co-authored by Widrow and Hoff (1960).
