Logo

An Introduction to Statistical Signal Processing

Large book cover: An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521838606
ISBN-13: 9780521838603
Number of pages: 478

Description:
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. 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.

Home page url

Download or read it online for free here:
Download link
(2.9MB, PDF)

Similar books

Book cover: Hidden Markov Models: Estimation and ControlHidden Markov Models: Estimation and Control
by - Springer
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. Readers are assumed to have basic grounding in probability and systems theory.
(8907 views)
Book cover: Digital FiltersDigital Filters
by - InTech
Digital filters are the most versatile, practical and effective methods for extracting the information necessary from the signal. This book presents the most advanced digital filters including different case studies and the most relevant literature.
(6723 views)
Book cover: Audio Signal ProcessingAudio Signal Processing
by - MDPI AG
Audio signal processing is a highly active research field where digital signal processing theory meets human sound perception and real-time programming requirements. It has a wide range of applications in computers, gaming, music technology, etc.
(1592 views)
Book cover: Bayesian Spectrum Analysis and Parameter EstimationBayesian Spectrum Analysis and Parameter Estimation
by - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
(11693 views)