Logo

Signal Processing for Communications

Large book cover: Signal Processing for Communications

Signal Processing for Communications
by

Publisher: EFPL Press
ISBN/ASIN: 1420070460
ISBN-13: 9781420070460
Number of pages: 388

Description:
Taking a novel, less classical approach to the subject, the authors have written this book with the conviction that signal processing should be fun. Their treatment is less focused on the mathematics and more on the conceptual aspects, 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.

Home page url

Download or read it online for free here:
Download link
(4MB, PDF)

Similar books

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.
(641 views)
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.
(8554 views)
Book cover: Optimal FilteringOptimal Filtering
by - Prentice-Hall
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; etc.
(9044 views)
Book cover: R. R. Bahadur's Lectures on the Theory of EstimationR. R. Bahadur's Lectures on the Theory of Estimation
by - IMS
In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.
(5845 views)