DocumentCode
3367962
Title
Optimizing neural network for searching of function extrema in the Remez algorithm
Author
Nawara, Mariusz
Author_Institution
Inst. of Telecommun., Wroclaw Univ. of Technol., Wroclaw
fYear
2008
fDate
14-17 Sept. 2008
Firstpage
297
Lastpage
300
Abstract
In this paper, a general algorithm for finding of function extrema in the Remez algorithm is presented. The proposed algorithm utilizes neural network, gradient method and least square method which allows one to achieve precise solution of the problem. Moreover since neural network allows a parallel solving for several points, it means the proposed algorithm is time efficient. The gradient method and the least square method make the algorithm easy to implement.
Keywords
FIR filters; gradient methods; least squares approximations; neural nets; Remez algorithm; function extrema; gradient method; least square method; neural network; Acoustics; Algorithm design and analysis; Digital filters; Finite impulse response filter; Gradient methods; Iterative algorithms; Iterative methods; Least squares methods; Neural networks; Signal processing algorithms; Remez algorithm; digital filter design; neural networks; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals and Electronic Systems, 2008. ICSES '08. International Conference on
Conference_Location
Krakow
Print_ISBN
978-83-88309-47-2
Electronic_ISBN
978-83-88309-52-6
Type
conf
DOI
10.1109/ICSES.2008.4673419
Filename
4673419
Link To Document