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: Introduction to Signal ProcessingIntroduction to Signal Processing
by - Prentice Hall
An applications-oriented introduction to digital signal processing. The author covers all the basic DSP concepts, such as sampling, DFT/FFT algorithms, etc. The book emphasizes the algorithmic, computational, and programming aspects of DSP.
(16031 views)
Book cover: Signal Processing for CommunicationsSignal Processing for Communications
by - EFPL Press
The book is less focused on the mathematics and more on the concepts, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems.
(10721 views)
Book cover: Kalman FilterKalman Filter
by - InTech
The Kalman filter has been successfully employed in diverse knowledge areas over the last 50 years. The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science.
(12351 views)
Book cover: Bayesian Methods in the Search for MH370Bayesian Methods in the Search for MH370
by - Springer
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. The probability distribution was used to define the search zone in the Ocean.
(5570 views)