Optimal Design of the High Order FIR Multi-Band-Stop Filters

Author

Zeng, Zhezhao ; Zhang, Yibin ; Wang, Yaonan

Author_Institution

Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4279

Lastpage

4283

Abstract

This paper traverses the relations between the amplitude-frequency response of FIR filters with the linear phase and the parallel algorithm of neural network, which its activation matrix is H_d - C^TW , presents and proves the convergence theorem of the neural-network parallel algorithm, and gives the optimal design examples of high order FIR multi-band-stop digital filters. The results show that the parallel algorithm is efficient in the field of optimal design on the high order FIR multi-band-stop digital filters with the linear phase

Keywords

FIR filters; band-stop filters; matrix algebra; neural nets; parallel algorithms; activation matrix; amplitude-frequency response; high order FIR multiband-stop digital filters; linear phase; neural network parallel algorithm; optimal design; Algorithm design and analysis; Design engineering; Design methodology; Digital filters; Educational institutions; Finite impulse response filter; Frequency; Least squares methods; Neural networks; Parallel algorithms; High order FIR multi-band-stop digital filters; Neural networks; Simulation examples;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713182

Filename

1713182