A Sequential Partial Optimization Algorithm for Minimax Design of Separable-Denominator 2-D IIR Filters

2017 ◽  
Vol 65 (4) ◽  
pp. 876-887 ◽  
Author(s):  
Xiaoping Lai ◽  
Hailong Meng ◽  
Jiuwen Cao ◽  
Zhiping Lin
Keyword(s):  
Optimization Algorithm ◽  
Iir Filters ◽  
Separable Denominator ◽  
Minimax Design

scholarly journals An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Nicholas Ampazis ◽  
Stavros J. Perantonis
Keyword(s):  
Neural Network ◽  
Optimization Algorithm ◽  
Network Optimization ◽  
Transfer Functions ◽  
Learning Algorithm ◽  
Neural Network Optimization ◽  
Iir Filters ◽  
Iir Filter ◽  
Constrained Learning ◽  
The Stability

A constrained neural network optimization algorithm is presented for factorizing simultaneously the numerator and denominator polynomials of the transfer functions of 2-D IIR filters. The method minimizes a cost function based on the frequency response of the filters, along with simultaneous satisfaction of appropriate constraints, so that factorization is facilitated and the stability of the resulting filter is respected.

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