FILTER BANK DESIGN USING MULTIPLE PROTOTYPE APPROACH FOR VARIABLE GRANULARITY BANDS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 2 (June 2016) > List of articles

FILTER BANK DESIGN USING MULTIPLE PROTOTYPE APPROACH FOR VARIABLE GRANULARITY BANDS

S Chris Prema * / Maneesha K *

Keywords : Multi Prototype, Variable Granularity, Channel Combiners, Cosine modulation, Filter Banks.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 2, Pages 733-751, DOI: https://doi.org/10.21307/ijssis-2017-892

License : (CC BY-NC-ND 4.0)

Received Date : 21-January-2016 / Accepted: 20-March-2016 / Published Online: 01-June-2016

ARTICLE

ABSTRACT

In this paper, a multiple prototype based filter bank is proposed for variable granularity
bands. This method makes use of channel combiners for variable granularity bands from a cosine
modulated filter bank. In the proposed method, the filter bank is generated from proper choice of
prototype filters and different bandwidth combinations are generated from different prototypes, where
M determines the granularity of the uniform bandwidth from individual prototypes. The condition for
generation of variable granularity bands from multiple prototype filters is also defined. The method is
found to have less complexity and distortions as compared to a single prototype approach using
channel combiners. The method allows different combinations of the uniform filter banks to generate
the filter banks with variable granularity for integer powers of two. Simulations are done to obtain
varying bandwidth channels, and analyzed for different input signals with different fidelity parameters.
The results are found to be comparable with existing methods.

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