Frequency-flexible stochastic Gabor filter

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2015 IEEE International Conference on Digital Signal Processing, DSP 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ458-462
ページ数5
ISBN(電子版)9781479980581, 9781479980581
DOI
出版ステータスPublished - 2015 9 9
イベントIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
継続期間: 2015 7 212015 7 24

出版物シリーズ

名前International Conference on Digital Signal Processing, DSP
2015-September

Other

OtherIEEE International Conference on Digital Signal Processing, DSP 2015
国/地域Singapore
CitySingapore
Period15/7/2115/7/24

ASJC Scopus subject areas

  • 信号処理

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