Optimal Filtering: Volume I: Filtering of Stochastic Processes: 457 (Mathematics and Its Applications, 457) - Image 1

£83.06

This is the most expensive it has ever been. Walk away.

£83 today · previous high £83 · all-time low £82

Springer Optimal Filtering: Volume I: Filtering of Stochastic Processes: 457 (Mathematics and Its Applications, 457)

Name: Optimal Filtering: Volume I: Filtering of Stochastic Processes: 457 (Mathematics and Its Applications, 457)
Brand: Springer
Price: 83.06 GBP
Availability: InStock

Networking & Security

Price Distribution

Price distribution over 70 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £82 (57 days, 81.4%)

Price range: £82 - £83

Price levels: 2 different prices over 70 days

Description

This book is devoted to an investigation of some important problems of mod ern filtering theory concerned with systems of 'any nature being able to per ceive, store and process an information and apply it for control and regulation'. (The above quotation is taken from the preface to [27]). Despite the fact that filtering theory is l'argely worked out (and its major issues such as the Wiener-Kolmogorov theory of optimal filtering of stationary processes and Kalman-Bucy recursive filtering theory have become classical) a development of the theory is far from complete. A great deal of recent activity in this area is observed, researchers are trying consistently to generalize famous results, extend them to more broad classes of processes, realize and justify more simple procedures for processing measurement data in order to obtain more efficient filtering algorithms. As to nonlinear filter ing, it remains much as fragmentary. Here much progress has been made by R. L. Stratonovich and his successors in the area of filtering of Markov processes. In this volume an effort is made to advance in certain of these issues. The monograph has evolved over many years, coming of age by stages. First it was an impressive job of gathering together the bulk of the impor tant contributions to estimation theory, an understanding and moderniza tion of some of its results and methods, with the intention of applying them to recursive filtering problems.

Key Features

Used Book in Good Condition

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0792352866
Category: Books > Subjects > Computing & Internet > Networking & Security
Domain: Amazon UK
Release Date: 30 November 1998
Listed Since: 15 December 2006

Barcode

No barcode data available

This is the most expensive it has ever been. Walk away.

Springer Optimal Filtering: Volume I: Filtering of Stochastic Processes: 457 (Mathematics and Its Applications, 457)

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Filtering and Control of Stochastic Jump Hybrid Systems: 58 (Studies in Systems, Decision and Control, 58)

Filtering and Control of Stochastic Jump Hybrid Systems: 58 (Studies in Systems, Decision and Control)

Stochastic Modelling and Control (Monographs on Statistics and Applied Probability)

Smoothing, Filtering and Prediction - Estimating The Past, Present and Future

Stochastic Systems: The Mathematics of Filtering and Identification and Applications: Proceedings of the NATO Advanced Study Institute held at Les ... July 5, 1980: 78 (Nato Science Series C:, 78)

Adaptive Filtering: Algorithms and Practical Implementation

A Kalman Filter Primer (Statistics, Textbooks and Monographs)

Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification: 1 (Series in Contemporary Mathematics, 1)

Wiley Advanced Kalman Filtering and Least-Squares Handbook

Springer - An Introduction to Sequential Monte Carlo Book

Stationary Processes and Discrete Parameter Markov Processes: 293 (Graduate Texts in Mathematics, 293)

Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)

RLS WIENER SMOOTHER FROM RANDOMLY DELAYE (Mathematics Research Developments)

Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)

Markov Chains and Stochastic Stability (Communications and Control Engineering)

This is the most expensive it has ever been. Walk away.

Springer Optimal Filtering: Volume I: Filtering of Stochastic Processes: 457 (Mathematics and Its Applications, 457)

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Filtering and Control of Stochastic Jump Hybrid Systems: 58 (Studies in Systems, Decision and Control, 58)

Filtering and Control of Stochastic Jump Hybrid Systems: 58 (Studies in Systems, Decision and Control)

Stochastic Modelling and Control (Monographs on Statistics and Applied Probability)

Smoothing, Filtering and Prediction - Estimating The Past, Present and Future

Stochastic Systems: The Mathematics of Filtering and Identification and Applications: Proceedings of the NATO Advanced Study Institute held at Les ... July 5, 1980: 78 (Nato Science Series C:, 78)

Adaptive Filtering: Algorithms and Practical Implementation

A Kalman Filter Primer (Statistics, Textbooks and Monographs)

Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification: 1 (Series in Contemporary Mathematics, 1)

Wiley Advanced Kalman Filtering and Least-Squares Handbook

Springer - An Introduction to Sequential Monte Carlo Book

Stationary Processes and Discrete Parameter Markov Processes: 293 (Graduate Texts in Mathematics, 293)

Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)

RLS WIENER SMOOTHER FROM RANDOMLY DELAYE (Mathematics Research Developments)

Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)

Markov Chains and Stochastic Stability (Communications and Control Engineering)