A new approach for designing 2-D quasi-equiripple zero-phase FIR digital filters

Qiao Fu; Xiaohua Wang; Tianzan Li

doi:10.1117/12.806570

13 October 2008 A new approach for designing 2-D quasi-equiripple zero-phase FIR digital filters

Qiao Fu, Xiaohua Wang, Tianzan Li

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 71280Q (2008) https://doi.org/10.1117/12.806570
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Qiao Fu, Xiaohua Wang, and Tianzan Li "A new approach for designing 2-D quasi-equiripple zero-phase FIR digital filters", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280Q (13 October 2008); https://doi.org/10.1117/12.806570

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