Title :
Optimal least squares FIR multiband filter design
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
The paper presents three approaches to multiband FIR filter design. One is analytical, using spline transition band functions, but allows no error weighting. The second allows error weighting but requires solving simultaneous equations which may be ill conditioned. The third looks at the signal characteristics and poses a peak constrained least squares approximation with no zero weighted transition band as best suiting practical design specifications
Keywords :
FIR filters; digital filters; frequency response; least squares approximations; optimisation; splines (mathematics); error weighting; optimal least squares FIR multiband filter design; signal characteristics; simultaneous equations; spline transition band functions; Band pass filters; Chebyshev approximation; Computer errors; Design methodology; Error correction; Finite impulse response filter; Frequency response; Least squares methods; Nonlinear filters; Spline;
Conference_Titel :
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location :
Yosemite National Park, CA
Print_ISBN :
0-7803-1948-6
DOI :
10.1109/DSP.1994.379838
