Logo

Optimum Signal Processing by Sophocles J. Orfanidis

Large book cover: Optimum Signal Processing

Optimum Signal Processing
by


ISBN/ASIN: 0979371309
Number of pages: 391

Description:
Digital signal processing is currently in a period of rapid growth caused by recent advances in VLSI technology. This is especially true of three areas of optimum signal processing; namely, real-time adaptive signal processing, eigenvector methods of spectrum estimation, and parallel processor implementations of optimum filtering and prediction algorithms. In this edition the book has been brought up to date by increasing the emphasis on the above areas and including several new developments.

Home page url

Download or read it online for free here:
Download link
(4.9MB, PDF)

Similar books

Book cover: Statistical Spectral Analysis: A Non-Probabilistic TheoryStatistical Spectral Analysis: A Non-Probabilistic Theory
by - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
(6561 views)
Book cover: Introduction To Random ProcessesIntroduction To Random Processes
by - McGraw-Hill
A first course on random processes for graduate engineering and science students, particularly those with an interest in the analysis and design of signals and systems. The book includes detailed coverage of minimum-mean-squared-error estimation.
(10108 views)
Book cover: An Exploration of Random Processes for EngineersAn Exploration of Random Processes for Engineers
by - University of Illinois at Urbana-Champaign
These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.
(12105 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.
(3182 views)