Maharatna, K., Ahmadi, A. and Magieri, E.
Biologically inspired analogue signal processing: some results towards developing next generation signal analyzers.
2009 12th International Symposium on Integrated Circuits (ISIC 2009), .
Full text not available from this repository.
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.
Actions (login required)