Title :
Finite precision design of FIR digital filters using a convexity property
Author :
Jaumard, B. ; Minoux, M. ; Siohan, P.
Author_Institution :
CNET, Issy les Moulineaux, France
fDate :
3/1/1988 12:00:00 AM
Abstract :
The authors put forward a convexity property that significantly improves the efficiency of the branch-and-bound techniques often used to solve optimal design problems for finite-work-length linear-phase FIR (finite-impulse response) digital filters. The property can be used to reduce the number of nodes in the tree search procedure. Results of computational experiments are included
Keywords :
digital filters; filtering and prediction theory; FIR digital filters; branch-and-bound techniques; convexity; finite precision design; finite word length linear phase filters; Chebyshev approximation; Delay; Digital filters; Finite impulse response filter; Nonlinear filters; Shape; Signal processing algorithms; Speech analysis; Speech processing; Speech recognition;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
