By Topic

Minimax design of FIR Nyquist filters using a quadratic programming method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Xiaoping Lai ; Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou

FIR Nyquist filters play important roles in communication applications. Minimax filters are very attractive because of their minimal maximum approximation error. Minimax FIR Nyquist filters, however, may not satisfy the alternating theorem. Thus the efficient multiple-exchange design algorithms are not guaranteed to converge or may not converge to minimax filters. By trading off the minimax and the least-squares criterions, a positive definite quadratic programming formulation of the design problem is obtained. It is shown that under sufficiently small tradeoff factor, the resulted filter is actually a minimax one. Using this method, many FIR Nyquist filters have been designed. Comparison with existing algorithms demonstrates the effectiveness and the efficiency of the method.

Published in:

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Date of Conference:

26-29 Oct. 2008