Design & Implementation of Feed Forward Neural Network for FIR Filter

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2013, 2013

3659449237 / 9783659449239

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This item is printed on demand - Print on Demand Titel. Neuware -Filter designs have number of applications in data transmission systems, perfect reconstruction filter banks, nonuniform sampling, interpolation filters over the past two decades. There are two conventional methods, which are FIR and IIR filter forms, to design filters. FIR filters can be designed with an exact linear phase. However, when the sharp magnitude specifications are required, higher order FIR filters are generally needed, and a larger delay results. On the other hand, IIR filters have two disadvantages: one is the stability that must be considered, and another is that the existing design methods are generally time consuming. For real-time signal applications, the above methods are all linear algebra based methods, therefore, cannot meet the requirements of real-time. Neural networks possessing parallel processing capability have been successfully applied for solving various computationally expensive optimization problems. This is due to the properties of guaranteed convergence to a local minimum of the Lyapunov energy function and the fast computational speed when implemented in hardware.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…

Seller Inventory # 9783659449239

Title
Design & Implementation of Feed Forward Neural Network for FIR Filter
Author
Mohammed Waseem
Publisher
LAP LAMBERT Academic Publishing Aug 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659449237
ISBN 13
9783659449239
Item weight
125 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

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