Wiley-IEEE Press Model-Based Signal Processing Book

Improve your understanding of complex data extraction with Model-Based Signal Processing. This technical text provides a unique treatment of signal processing through a model-based perspective, making it an essential resource for those working with noisy data and low signal levels. While basic techniques work well when signal levels are high, low signal levels present a significant challenge. This book teaches how to use underlying physics to correct problems and extract desired information. By incorporating physical phenomena, measurements, and noise into mathematical models, you can solve difficult signal processing problems more effectively. Part of the Adaptive and Cognitive Dynamic Systems series, this work covers signal processing, learning, communications, and control. It is designed for professionals and students who need to move beyond simple techniques to master the mathematical modeling required for modern signal processing tasks.