Linear Prediction Theory

One of the difficulties I have en countered while writing this book is that many engineers and computer scientists lack knowledge of fundamental mathematics and geometry.

Linear Prediction Theory

Linear Prediction Theory

Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear equations. In the general case these systems are overdetermined and may be characterized by additional properties, such as update and shift-invariance properties. Usually, one employs exact or approximate least-squares methods to solve the resulting class of linear equations. Mainly during the last decade, researchers in various fields have contributed techniques and nomenclature for this type of least-squares problem. This body of methods now constitutes what we call the theory of linear prediction. The immense interest that it has aroused clearly emerges from recent advances in processor technology, which provide the means to implement linear prediction algorithms, and to operate them in real time. The practical effect is the occurrence of a new class of high-performance adaptive systems for control, communications and system identification applications. This monograph presumes a background in discrete-time digital signal processing, including Z-transforms, and a basic knowledge of discrete-time random processes. One of the difficulties I have en countered while writing this book is that many engineers and computer scientists lack knowledge of fundamental mathematics and geometry.

More Books:

Linear Prediction Theory
Language: en
Pages: 422
Authors: Peter Strobach
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear
The Theory of Linear Prediction
Language: en
Pages: 183
Authors: P. P. Vaidyanathan
Categories: Technology & Engineering
Type: BOOK - Published: 2008 - Publisher: Morgan & Claypool Publishers

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
Dynamic Programming and Linear Prediction Theory
Language: en
Pages: 7
Authors: Richard Bellman
Categories: Dynamic programming
Type: BOOK - Published: 1961 - Publisher:

The application is considered of the theory of dynamic programming to a discrete form of the linear prediction problem, that of minimizing over u sub k a given quadratic form.
Linear Prediction Theory for Digital Simulation of Sea Waves
Language: en
Pages: 7
Authors: Pol D. Spanos
Categories: Dynamic programming
Type: BOOK - Published: 1981 - Publisher:

Books about Linear Prediction Theory for Digital Simulation of Sea Waves
Linear Prediction Theory for Digital Simulation of Sea Waves
Language: en
Pages: 18
Authors: P. D. Spanos, J. E. Hansen
Categories: Dynamic programming
Type: BOOK - Published: 1981 - Publisher:

Books about Linear Prediction Theory for Digital Simulation of Sea Waves

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