Overview:Fundamentals of Statistical Signal Processing, Volume II: Detection Theory - 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.

This book is on page /0fb06c92acf561788291222b8bb2eff7/book/1603728819-9780135041352. It was written by the following authors: Steven Kay. Book Fundamentals of Statistical Signal Processing, Volume II: Detection Theory, which can be read online, published by the company: Pearson Education (US). Other books on similar topics can be found in sections: Internet, Technology, Medicine, Computing, Science. The book was published on 1998-03-16 00:00:00. It has 576 pages and is published in Hardback format and weight 1120 g. File for download Fundamentals of Statistical Signal Processing, Volume II: Detection Theory has PDF format and is called fundamentals-of-statistical-signal-processing-volume-ii-detection-theory.pdf. Other books you can download below. Our poumm.fr site is not responsible for the content of PDF files.


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