DocumentCode :
2262353
Title :
A unified framework for the least-squares design of linear-phase nonrecursive filters
Author :
Ramachandran, Ravi P. ; Sunder, S.
Author_Institution :
Dept. of Electr. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear :
1993
fDate :
16-18 Aug 1993
Firstpage :
480
Abstract :
A method is described which can be used to design a wide class of nonrecursive linear-phase filters including those with arbitrary magnitude specifications and with time domain constraints. The approach is based on formulating the weighted mean-square error between the amplitude responses of the practical and ideal filters as a quadratic function. The filter coefficients are obtained by solving a set of linear equations. This method leads to a lower weighted mean-square error and is computationally more efficient than both the eigenfilter method and the method based on the Remez exchange algorithm. However, the main advantage of our method lies in its computational efficiency. Design examples of many different types of filters are provided
Keywords :
delay circuits; digital filters; filtering theory; least mean squares methods; amplitude responses; arbitrary magnitude specifications; computational efficiency; filter coefficients; least-squares design; linear equations; linear-phase nonrecursive filters; quadratic function; time domain constraints; unified framework; weighted mean-square error; Algorithm design and analysis; Band pass filters; Computational efficiency; Equations; Frequency response; Linear systems; Minimax techniques; Nonlinear filters; Time domain analysis; Transformers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
Type :
conf
DOI :
10.1109/MWSCAS.1993.343016
Filename :
343016
Link To Document :
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