ISBN 978-953-307-752-9, Hard cover, 276 pages
Publisher: InTech
Publication date: February 2012
Overview:
The book has recently been developed to improve the performance of applications with some of the ornaments and the traditional anti-aliasing filtering techniques, and describes the future. With the aim of setting in the course of ten lectures, practical guide for students and newcomers to serve as an easy way pole.Material odagisuvudagide content. Foundations of at least - on average - square - bug fixes and describes the asymptotic behavior of the construction of Chapters 1 and 2, was named after. Chapter 3 and 4 introduce the continuous time and discrete-time minimum variance filtering. The information, deterministic noise inputs to each other, direct prostate conditions, production estimates and the solution is described as a generalization. Chapter 5, the minimum variance filtering the results with constant problems. Observability Riccati equation, the solution convergence, stability and asymptotic equality are discussed in the Wiener filter. Chapter 6 and 7 on the subject of continuous time and discrete-time vyhlazování.Hlavní a fixed delay, fixed point and fixed - the intermediate results derived include smooth. Achieves the minimum variance for a fixed interval, it turned smooth. Estimated misalignment Chapter 8 standards. Knowledge of the basic parameters depend on the model of all the ways that the prospect of a joint state and parameter estimation algorithm described in the maximum likelihood techniques. Riccati equations for the period of uncertainty as to the problem of robust techniques specifiable.Další Chapter 9 deals with the designer in the business - of the average and maximum capacity to allow bug fixes. Chapter 10 on nonlinear problems in linear estimation techniques, and the text ends. It guarantees the best performance, although more slowly, leaving line striations, filters and smoother can be used to show that the assumptions.
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