Author : Steven M. Kay
Publisher : Pearson Education
Page : 496 pages
File Size : 24,70 MB
Release : 2013
Category : Technology & Engineering
ISBN : 013280803X
"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
Author : Steven M. Kay
Publisher : Pearson
Page : 584 pages
File Size : 18,58 MB
Release : 1998
Category : Technology & Engineering
ISBN :
V.2 Detection theory -- V.1 Estimation theory.
Author : Kay
Publisher : Pearson Education India
Page : 612 pages
File Size : 24,31 MB
Release :
Category :
ISBN : 9788131728994
Author : Steven M. Kay
Publisher :
Page : pages
File Size : 14,67 MB
Release : 2010
Category :
ISBN :
Author : Robert M. Gray
Publisher : Cambridge University Press
Page : 479 pages
File Size : 35,92 MB
Release : 2004-12-02
Category : Technology & Engineering
ISBN : 1139456288
This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Author : Steven M. Kay (Statistiek)
Publisher :
Page : pages
File Size : 50,2 MB
Release : 1993
Category : Estimation theory
ISBN :
Author : Anastasia Veloni
Publisher : CRC Press
Page : 377 pages
File Size : 11,30 MB
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 042901757X
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently. FEATURES Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues.
Author : T. Chonavel
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 45,47 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1447101391
The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.
Author : John G. Proakis
Publisher :
Page : 584 pages
File Size : 44,13 MB
Release : 2002
Category : Computers
ISBN :
Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on "advanced topics" ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.
Author : George J. Miao
Publisher : Artech House
Page : 522 pages
File Size : 16,71 MB
Release : 2002
Category : Mathematics
ISBN : 9781580531351
This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.
