Biologically Inspired Analogue Signal Processing: Some Results Towards Developing Next Generation Signal Analyzers

被引：0

作者：

Maharatna, Koushik ^{[1
]}

Ahmadi, Arash ^{[1
]}

Magieri, Eduardo ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO9 5NH, Hants, England

来源：

PROCEEDINGS OF THE 2009 12TH INTERNATIONAL SYMPOSIUM ON INTEGRATED CIRCUITS (ISIC 2009) | 2009年

关键词：

Biologically-inspired circuits; analogue signal processing; non-linear oscillator; signal analyzer; OSCILLATOR; NETWORK;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work we describe the possibility of designing an analogue signal analyzer taking inspiration from biological and chemical information processing methodology present in the nature. The principal component of such a system is an adaptive-frequency Hopf oscillator. Using the proposed methodology it is possible to carry out Fourier as well as time-frequency analysis of a signal (similar to wavelet analysis) without changing the underlying circuit structure. This work may provide a route to a computationally superior and less power consuming next-generation signal processing system. Some open issues for making such an approach to practice are also discussed.

引用

页码：117 / 120

页数：4

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