Computer Intensive Methods in Control and Signal Processing

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Release : 2012-12-06
Genre : Technology & Engineering
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Book Rating : 965/5 ( reviews)

Computer Intensive Methods in Control and Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Intensive Methods in Control and Signal Processing write by Kevin Warwick. This book was released on 2012-12-06. Computer Intensive Methods in Control and Signal Processing available in PDF, EPUB and Kindle. Due to the rapid increase in readily available computing power, a corre sponding increase in the complexity of problems being tackled has occurred in the field of systems as a whole. A plethora of new methods which can be used on the problems has also arisen with a constant desire to deal with more and more difficult applications. Unfortunately by increasing the ac curacy in models employed along with the use of appropriate algorithms with related features, the resultant necessary computations can often be of very high dimension. This brings with it a whole new breed of problem which has come to be known as "The Curse of Dimensionality" . The expression "Curse of Dimensionality" can be in fact traced back to Richard Bellman in the 1960's. However, it is only in the last few years that it has taken on a widespread practical significance although the term di mensionality does not have a unique precise meaning and is being used in a slightly different way in the context of algorithmic and stochastic complex ity theory or in every day engineering. In principle the dimensionality of a problem depends on three factors: on the engineering system (subject), on the concrete task to be solved and on the available resources. A system is of high dimension if it contains a lot of elements/variables and/or the rela tionship/connection between the elements/variables is complicated.

Computer-intensive Methods in Control and Signal Processing

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Release : 1994
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Book Rating : /5 ( reviews)

Computer-intensive Methods in Control and Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer-intensive Methods in Control and Signal Processing write by . This book was released on 1994. Computer-intensive Methods in Control and Signal Processing available in PDF, EPUB and Kindle.

The Variational Bayes Method in Signal Processing

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Release : 2006-03-30
Genre : Technology & Engineering
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Book Rating : 201/5 ( reviews)

The Variational Bayes Method in Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Variational Bayes Method in Signal Processing write by Václav Šmídl. This book was released on 2006-03-30. The Variational Bayes Method in Signal Processing available in PDF, EPUB and Kindle. Treating VB approximation in signal processing, this monograph is for academic and industrial research groups in signal processing, data analysis, machine learning and identification. It reviews distributional approximation, showing that tractable algorithms for parametric model identification can be generated in off-line and on-line contexts.

Semantic Modeling for the Acquisition of Topographic Information from Images and Maps

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Release : 1997-05-01
Genre : Computers
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Book Rating : 580/5 ( reviews)

Semantic Modeling for the Acquisition of Topographic Information from Images and Maps - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Semantic Modeling for the Acquisition of Topographic Information from Images and Maps write by Wolfgang Förstner. This book was released on 1997-05-01. Semantic Modeling for the Acquisition of Topographic Information from Images and Maps available in PDF, EPUB and Kindle. Acquiring spatial data for geoinformation systems is still mainly done by human operators who analyze images using classical photogrammetric equipment or digitize maps, possibly assisted by some low level image processing. Automation of these tasks is difficult due to the complexity of the object, the topography, and the deficiency of current pattern recognition and image analysis tools for achieving a reliable transition from the data to the high level description of topographic objects. It appears that progress in automation only can be achieved by incorporating domain-specific semantic models into the analysis procedures. This volume collects papers which were presented at the Workshop "SMATI '97". The workshop focused on "Semantic Modeling for the Acquisition of Topographic Information from Images and Maps." This volume offers a comprehensive selection of high-quality and in-depth contributions by experts of the field coming from leading research institutes, treating both theoretical and implementation issues and integrating aspects of photogrammetry, cartography, computer vision, and image understanding.

Neural Approximations for Optimal Control and Decision

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Release : 2019-12-17
Genre : Technology & Engineering
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Book Rating : 938/5 ( reviews)

Neural Approximations for Optimal Control and Decision - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Approximations for Optimal Control and Decision write by Riccardo Zoppoli. This book was released on 2019-12-17. Neural Approximations for Optimal Control and Decision available in PDF, EPUB and Kindle. Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.