DocumentCode :
1228029
Title :
Multiband least squares FIR filter design
Author :
Burrus, C. Sidney
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume :
43
Issue :
2
fYear :
1995
fDate :
2/1/1995 12:00:00 AM
Firstpage :
412
Lastpage :
421
Abstract :
This paper gives two methods for the least squares approximation design of FIR digital filters. They both allow multiple pass and stop bands and arbitrary transition bands, all with explicit control of band edges. The first method is as simple to use as a window method. This design method builds up an optimal multiband frequency response by sequentially adding and subtracting optimal lowpass filters with transition bands. However, it assumes the ideal response has spline transition functions and does not allow error weighting. The second method allows different weights in the multiple passbands, stopbands and transition bands but it requires numerical solution of simultaneous equations which may be ill-conditioned. These methods compliment the Parks-McClellan algorithm which minimizes the Chebyshev error
Keywords :
FIR filters; delay circuits; filtering theory; frequency response; least squares approximations; low-pass filters; network synthesis; splines (mathematics); Chebyshev error; FIR digital filters; Parks-McClellan algorithm; band edges control; filter design; ill-conditioned equations; least squares approximation; linear phase filters; multiband least squares FIR filter; multiple pass bands; multiple stop bands; numerical solution; optimal lowpass filters; optimal multiband frequency response; simultaneous equations; spline transition functions; transition bands; window method; Band pass filters; Design methodology; Differential equations; Digital filters; Finite impulse response filter; Frequency response; Least squares approximation; Least squares methods; Passband; Spline;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.348124
Filename :
348124
Link To Document :
بازگشت