Abstract

A bias coding method is proposed for cellular neural networks which facilitates the representation of analog values into unipolar format. These bias-coded values are spatially arranged on the transparencies using a designed spatial coding scheme. A new compact and efficient optoelectronic architecture for cellular neural networks is also reported which is based on the proposed bias coding method and incoherent correlation.

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