Frequency-flexible stochastic Gabor filter

Naoya Onizawa, Daisaku Katagiri, Kazumichi Matsumiya, Warren J. Gross, Takahiro Hanyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper introduces an algorithm of a frequency flexible Gabor filter based on stochastic computation. The stochastic Gabor filter provides area-efficient hardware implementation compared to a traditional implementation, but a spacial frequency of the stochastic Gabor filter is restricted by the number of states in an up-down counter used in hardware. In the proposed algorithm, a frequency is determined by two parameters: the number of states and a scaling factor to an input signal. As the input-signal range is scaled down from a stochastic-signal range of [-1at1], a tentative frequency determined by the number of states is precisely controlled to synthesize a flexible frequency desired. The proposed stochastic Gabor filter is modelled and simulated in MATLAB that demonstrates a flexible frequency is synthesized, unlike the conventional method.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781479980581, 9781479980581
Publication statusPublished - 2015 Sep 9
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: 2015 Jul 212015 Jul 24

Publication series

NameInternational Conference on Digital Signal Processing, DSP


OtherIEEE International Conference on Digital Signal Processing, DSP 2015

ASJC Scopus subject areas

  • Signal Processing


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