NDLI: A novel technique to design optimum FIR digital filters with different transition bandwidths

Content Provider	IEEE Xplore Digital Library
Author	Ahsan, M. Saramaki, T. Gabbouj, M.
Copyright Year	2012
Description	Author affiliation: Department of Signal Processing, Tampere University of Technology, Tampere, Finland (Ahsan, M.; Saramaki, T.; Gabbouj, M.)
Abstract	An efficient technique to reduce the impact of extraneous peaks in the transition bands of optimum FIR filters with three or more bands is presented. Currently, these filters are designed with an assumption of transition bands as “don't care” regions. This assumption works perfectly until all the transition bandwidths are equal. If this is not the case, the phenomenon of extraneous peaks in the transition bands of the filter may occur. In theoretical designs, any performance in transition bands is acceptable, but in practice, resonances are not acceptable and may have adverse consequences on the overall design and application. This article reformulates the filter design approximation problem by employing certain transition band constraints in such a way that the phenomenon of extraneous peaks is reduced to an acceptable limit. Furthermore, an efficient MATLAB based implementation of the Remez algorithm is employed to obtain the filters without undesired transition band peaks. Several examples are included to highlight the efficiency of the proposed approach.
Starting Page	125
Ending Page	128
File Size	331100
Page Count	4
File Format	PDF
ISBN	9781467312431
ISSN	13342630
e-ISBN	9789537044145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-12
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	ELMAR (Electronics in Marines)
Subject Keyword	Algorithm design and analysis Signal processing algorithms Finite impulse response filter Approximation algorithms extraneous peaks Filtering theory Remez algorithm transition bandwidth constraints Passband Approximation methods MATLAB digital filtering
Content Type	Text
Resource Type	Article

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