Title :
The design of FIR and IIR filters which are equivalent to a least-squares process
Author :
Holtz, Howard ; Campbell, Bonita J.
Author_Institution :
The Aerospace Corp., El Segundo, CA, USA
fDate :
2/1/1993 12:00:00 AM
Abstract :
A procedure for designing a finite-impulse-response (FIR) filter which yields results identical to a moving least squares estimation procedure is presented. The FIR method is computationally more efficient than the least-squares process. The structure of the filter weights of the FIR filter allows one to construct an infinite-impulse-response (IIR) filter, which is even more computationally efficient
Keywords :
digital filters; filtering and prediction theory; matrix algebra; polynomials; FIR filter; IIR filters; design; filter weights; least-squares process; polynomial inputs; Finite impulse response filter; H infinity control; IIR filters; Least squares approximation; Least squares methods; Parameter estimation; Signal processing; Speech processing; Statistical analysis; Testing; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on
