An Alternative Approach to the Balanced Model Truncation Algorithm for Acoustic Minimum-Phase Inverse Filters Order Reduction
Author(s) -
Maamar Ahfir,
İzzet Kale,
Daoud Berkani
Publication year - 2011
Publication title -
isrn signal processing
Language(s) - English
Resource type - Journals
eISSN - 2090-505X
pISSN - 2090-5041
DOI - 10.5402/2011/971051
Subject(s) - inverse filter , finite impulse response , infinite impulse response , inverse , minimum phase , mathematics , impulse response , filter (signal processing) , linear phase , algorithm , filter design , truncation (statistics) , control theory (sociology) , digital filter , computer science , transfer function , mathematical analysis , statistics , engineering , artificial intelligence , computer vision , electrical engineering , geometry , control (management)
We propose an alternative approach to the Balanced Model Truncation method (standard method). This approach reduces substantially the order of minimum-phase inverse filters for equalizing room acoustics. This method is based on a property of the filter z transform function, which modifies the corresponding FIR coefficients before the application of the standard technique to the modified FIR coefficients filter version. In the standard technique, the Hankel singular values plot is the chief guide for a user for the selection of a reduced filter order. Results for minimum-phase inverse filter corresponding to partial equalization of measured acoustic impulse response show the superiority of the proposed method over the standard technique, in terms of reduced filters order selection.
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