The Theory of Linear Prediction

The Theory of Linear Prediction

2008 | 197 Pages | ISBN: 1598295756 | PDF | 1.8 MB

Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses on linear prediction. This has enabled detailed discussion of a number of issues that are normally not found in texts. For example, the theory of vector linear prediction is explained in considerable detail and so is the theory of line spectral processes. This focus and its small size make the book different from many excellent texts which cover the topic, including a few that are actually dedicated to linear prediction. There are several examples and computer-based demonstrations of the theory. Applications are mentioned wherever appropriate, but the focus is not on the detailed development of these applications. The writing style is meant to be suitable for self-study as well as for classroom use at the senior and first-year graduate levels. The text is self-contained for readers with introductory exposure to signal processing, random processes, and the theory of matrices, and a historical perspective and detailed outline are given in the first chapter.

Download:

http://longfiles.com/3vkios3jjofi/The_Theory_of_Linear_Prediction.pdf.html

[Fast Download] The Theory of Linear Prediction


Related eBooks:
Introduction to Finite Element Analysis and Design 2nd Edition
Modular Representation Theory: New Trends and Methods
Studying Classroom Teaching As a Medium for Professional Development: Proceedings of a U.S.-Japan Wo
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
Emotional Design in Human-Robot Interaction: Theory, Methods and Applications
Nonlinear Expectations and Stochastic Calculus under Uncertainty: with Robust CLT and G-Brownian Mot
"Introduction to Real Analysis" by William F. Trench
Finite Element Methods with B-Splines
Exascale Scientific Applications: Scalability and Performance Portability
Die Idee Der Riemannschen Flaeche von H. Weyl
The Arithmetic of Infinitesimals
Algebraic Semantics in Language and Philosophy
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.