Title :
Filter Design With Low Complexity Coefficients
Author :
Skaf, Joëlle ; Boyd, Stephen P.
Author_Institution :
Electr. Eng. Dept., Stanford Univ., Stanford, CA
fDate :
7/1/2008 12:00:00 AM
Abstract :
We introduce a heuristic for designing filters that have low complexity coefficients, as measured by the total number of nonzeros digits in the binary or canonic signed digit (CSD) representations of the filter coefficients, while still meeting a set of design specifications, such as limits on frequency response magnitude, phase, and group delay. Numerical examples show that the method is able to attain very low complexity designs with only modest relaxation of the specifications.
Keywords :
filtering theory; frequency response; canonic signed digit representations; filter coefficients; filter design; frequency response magnitude; low complexity coefficients; nonzeros digits; Algorithm design and analysis; Circuits and systems; Delay; Frequency measurement; Frequency response; IIR filters; Information systems; NASA; Phase measurement; Transfer functions; Coefficient truncation; filter design;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.919386