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Artigos
Capa

Introduction to Optimal Estimation

Su, Jonathan K
SPRINGER
09 / 1999
9781852331337
978-18-5233-133-7
Inglês
Advanced Textbooks in Control and Signal Processing
Probabilidad y estadistica
Ingenieria electronica
Procesamiento digital de senales (DSP, por su sigla inglesa)
Ingles

Sinopse

Developed from a set of lecture notes by Professor Kamen and since developed and refined by both authors, this introductory yet comprehensive study is a prime example in its field. There are examples in the book that use MATLABreg; and many of the problems discussed require the use of MATLABacirc;. The primary objective is to provide students with an extensive coverage of Wiener and Kalman filtering along with the development of least squares estimation, maximum likelihood estimation and maximum a posteriori estimation, based on discrete-time measurements. In the study of these estimation techniques there is a strong emphasis on how they interrelate and fit together to form a systematic development of optimal estimation. Also included in the text is a chapter on nonlinear filtering focusing on the extended Kalman filter and a recently-developed nonlinear estimator based on a block-form version of the Levenberg-Marquardt algorithm.