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Proceedings Paper

A new approach for designing 2-D quasi-equiripple zero-phase FIR digital filters
Author(s): Qiao Fu; Xiaohua Wang; Tianzan Li
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Paper Abstract

A batch back-propagation neural networks (BBPNN) approach was presented to design general two-dimensional (2-D) quasi-equripple zero-phase finite-impulse response (FIR) digital filters. By minimizing the frequency-domain weighted error function, the BBPNN design method was obtained. The solution was presented as a parallel algorithm to approximate the desired frequency response specification. Thus, the method makes a fast calculation of the filter's coefficients possible. It is shown that the method leads to an optimal solution for the filter coefficients. The implementation of the approach was described together with some design guidelines, and some optimal design examples were given to demonstrate the effectiveness of the proposed approach.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280Q (13 October 2008); doi: 10.1117/12.806570
Show Author Affiliations
Qiao Fu, Changsha Univ. of Science and Technology (China)
Xiaohua Wang, Changsha Univ. of Science and Technology (China)
Tianzan Li, Changsha Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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