Fundamentals of Statistical Signal Processing
Detection Theory, Volume 2
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This book focuses on techniques for obtaining optimal detection algorithms for implementation on digital computers.KEY TOPICS:The book explains statistical and signal processing in the context of numerous practical examples, focusing on current detection applications - especially problems in speech and communications. The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Topics covered include: probability density functions and properties; statistical decision theory for both deterministic and random signals; signals with unknown parameters; white and ...
This book focuses on techniques for obtaining optimal detection algorithms for implementation on digital computers.KEY TOPICS:The book explains statistical and signal processing in the context of numerous practical examples, focusing on current detection applications - especially problems in speech and communications. The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Topics covered include: probability density functions and properties; statistical decision theory for both deterministic and random signals; signals with unknown parameters; white and colored Gaussian noise; non-Gaussian noise; detectors; model change detection; complex extensions; vector generalization and array processing. This is the perfect companion to Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory.MARKET:For practicing electrical engineers building detectors for real-world applications. Also for electronics students and researchers.
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