Bacterial Foraging Optimization for Digital Filter Synthesis

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2013, 2013

3659434167 / 9783659434167

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This item is printed on demand - Print on Demand Titel. Neuware -In any deterministic solution, the convergence is not at all guaranteed, whereas, the stochastic and random search algorithms are 1 shot optimization and it can hit the nearly optimized solution, with guarantee. Therefore the AI dependent evolutionary algorithms (GA, PSO, DE, BFOA) are prescribed for this type of optimization problems. Some selected evolutionary algorithms are presented for digital filter design. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. Adaptive filters (FIR and IIR) have attractive increasing attention due to their widespread use in many different applications such as system identification, noise cancellation, channel equalization, linear prediction, control, and modeling. In the present book, in order to achieve a global minimum solution to the fitness function related to filter transfer function, biologically inspired algorithm is used. Adaptation to classical Bacterial Foraging Optimization is employed to design stable and optimum digital filter design for signal processing and image processing applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 216 pp. Englisch.

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Title
Bacterial Foraging Optimization for Digital Filter Synthesis
Author
Apurba Das
Publisher
LAP LAMBERT Academic Publishing Aug 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659434167
ISBN 13
9783659434167
Item weight
340 grams
Dimensions
220x150x14 mm

buchversandmimpf2000

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