A Modified Wavelet Transform Domain Adaptive FIR filtering Algorithm for Removing the SPN Contained in the MFL data

2006 ◽  
Author(s):  
Wenhua Han ◽  
Peiwen Que
Keyword(s):  
Wavelet Transform ◽  
Transform Domain ◽  
Filtering Algorithm ◽  
Fir Filtering ◽  
Adaptive Fir

Wavelet transform domain adaptive FIR filtering

1997 ◽  
Vol 45 (3) ◽  
pp. 617-630 ◽  
Author(s):  
S. Hosur ◽  
A.H. Tewfik
Keyword(s):  
Wavelet Transform ◽  
Transform Domain ◽  
Fir Filtering ◽  
Adaptive Fir

An Adaptive Fir Filtering Based on Balanced Realization

2013 ◽  
Vol 753-755 ◽  
pp. 2566-2572
Author(s):  
Zheng Hong Deng ◽  
Jian Guo Dang ◽  
Ting Ting Li
Keyword(s):  
Transfer Function ◽  
State Space ◽  
Adaptive Filter ◽  
Finite Impulse Response ◽  
Balanced Realization ◽  
Filtering Algorithm ◽  
Filter Structure ◽  
Fir Filtering ◽  
Attractive Candidate ◽  
Adaptive Fir

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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