Title :
Thoughts on least squared-error optimal windows
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
4/1/1996 12:00:00 AM
Abstract :
Recently, a simple and versatile method for the design of linear phaser FIR filters with spline transition bands and optimal in a least-squared sense was introduced. The following question is raised: Given an arbitrary window, say, for example, a Hamming window, does there exist a transition function (like the spline function above) such that the Hamming window is least-squares optimal? A related question is the following: Given a transition function, does there exist a window sequence w(n) such that the least squared optimal FIR filter is given by g(n)w(n)? This correspondence shows that all windows have associated transition functions that make them least-squared optimal. For every window, there exists a transition function that makes it superoptimal
Keywords :
FIR filters; filtering theory; least squares approximations; optimisation; sequences; splines (mathematics); Hamming window; design; least squared-error optimal windows; linear phaser FIR filters; spline transition bands; superoptimal window; transition function; window sequence; Finite impulse response filter; Frequency response; Gain measurement; Inspection; Particle measurements; Signal processing; Signal processing algorithms; Simulated annealing; Speech processing; Spline;
Journal_Title :
Signal Processing, IEEE Transactions on