Title :
The design of peak-constrained least squares FIR filters with low-complexity finite-precision coefficients
Author :
Fox, Trevor W. ; Turner, Laurence E.
Author_Institution :
Calgary Univ., Alta., Canada
fDate :
2/1/2002 12:00:00 AM
Abstract :
A method for the design of peak-constrained least squares (PCLS) finite-impulse response (FIR) digital filters with low-complexity finite-precision coefficients (FPC) based on Adams´ optimality criterion and an efficient local search is presented. Simple quantization of the infinite precision coefficients typically leads to filter designs which fail to meet the frequency response, passband to stopband energy ratio (PSR) and coefficient complexity (number of coefficient adders and subtractors) specifications. It is shown that it is possible to design a filter with an acceptable PSR that meets the frequency response specification while using a reduced number of adders and subtractors
Keywords :
FIR filters; adders; digital filters; frequency response; least squares approximations; quantisation (signal); Adams´ optimality criterion; coefficient adders; coefficient complexity; coefficient subtractors; efficient local search; filter designs; frequency response; low-complexity finite-precision coefficients; passband to stopband energy ratio; peak-constrained least squares FIR filters; quantization; Adaptive signal processing; Attenuation; Circuits; Digital filters; Finite impulse response filter; IIR filters; Least squares methods; Nonlinear filters; Notice of Violation; Signal processing;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
DOI :
10.1109/TCSII.2002.1002517
