DocumentCode
3074854
Title
Efficient CAD tools for the coefficient optimisation of arbitrary integrated digital filters
Author
Jain, R. ; Vandewalle, J. ; De Man, H.
Author_Institution
Katholieke Universiteit Leuven, Heverlee, Belgium
Volume
9
fYear
1984
fDate
30742
Firstpage
602
Lastpage
605
Abstract
An interactive CAD methodology is presented for designing digital filters with optimised discrete coefficients. The objective is to minimise the cost of integration
subject to the constraint that the desired specifications on the complex frequency transfer function
are satisfied. The vector a represents the fixed coefficients in the filter network. For VLSI DSP architectures, where multiplication is implemented using software controlled or hardwired shift-and-add operations,
is defined as the total number of non-zero bits in the discrete representation of
. An accurate multiparameter analysis technique, based on the bilinear property of
, is exploited to develop numerically reliable and computationally efficient tools for function evaluation and feasible region determination. These are built into a CAD framework together with tools for computing
and predicting the location of the minima of
Extremely fast optimisation strategies using this framework are demonstrated, for different filter topologies with up to 10 coefficients.
subject to the constraint that the desired specifications on the complex frequency transfer function
are satisfied. The vector a represents the fixed coefficients in the filter network. For VLSI DSP architectures, where multiplication is implemented using software controlled or hardwired shift-and-add operations,
is defined as the total number of non-zero bits in the discrete representation of
. An accurate multiparameter analysis technique, based on the bilinear property of
, is exploited to develop numerically reliable and computationally efficient tools for function evaluation and feasible region determination. These are built into a CAD framework together with tools for computing
and predicting the location of the minima of
Extremely fast optimisation strategies using this framework are demonstrated, for different filter topologies with up to 10 coefficients.Keywords
Application software; Cost function; Design automation; Design optimization; Digital filters; Digital signal processing; Frequency; Laboratories; Optimization methods; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type
conf
DOI
10.1109/ICASSP.1984.1172618
Filename
1172618
Link To Document