A new two-dimensional block adaptive FIR filtering algorithm and its application to image restoration

1998 ◽  
Vol 7 (2) ◽  
pp. 238-246 ◽  
Author(s):  
T. Wang ◽  
Chin-Liang Wang
2013 ◽  
Vol 753-755 ◽  
pp. 2566-2572
Author(s):  
Zheng Hong Deng ◽  
Jian Guo Dang ◽  
Ting Ting Li

Balanced realization is an attractive candidate to design state-space adaptive filter structure due to its least parameter sensitivity. In this paper, based on the balanced realization, an adaptive finite impulse response (FIR) filtering algorithm is proposed to minimize the output-error using the coefficients of the transfer function as the adaptive filter parameters. This algorithm is an internally balanced realization form and guarantees that the designed adaptive FIR filtering always minimizes the ratio of maximum-to-minimum eigenvalues of the Grammian matrices.


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