DocumentCode :
2250326
Title :
Mean-square-error reduction for quantized FIR filters
Author :
Izydorczyk, Jacek
Author_Institution :
Silesian Univ. of Technol., Gliwice
fYear :
2006
fDate :
16-19 May 2006
Firstpage :
76
Lastpage :
79
Abstract :
In the article the author discuss fundamental properties of canonic signed digit (CSD) fixed point representation of numbers. Although properties of CSD format are well known from literature, published proofs are tedious and occupy lot of columns of text. Here the problem has been reduced to the problem of combinatorial number. The tool for this reduction is a "drawer lemma" - lemma about the distribution of identical objects in drawers or holes. Next there is proposed an algorithm for the computation and quantization of canonic signed digit (CSD) coefficients in a constant-coefficient multiplierless FIR filter. The algorithm is proven to be optimal in the mean square error sense. The algorithm is recurrent and unexpectedly simple, so it can be easily implemented inside any mathematical program as MATLAB or MATHCAD
Keywords :
FIR filters; mean square error methods; MATHCAD; MATLAB; canonic signed digit fixed point representation; combinatorial number; constant-coefficient multiplierless FIR filter; drawer lemma; mathematical program; mean-square-error reduction; quantized FIR filters; Electrons; Finite impulse response filter; MATLAB; Mean square error methods; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
Type :
conf
DOI :
10.1109/MELCON.2006.1653040
Filename :
1653040
Link To Document :
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