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An optical implementation setup is proposed and validated experimentally.
This chapter focuses on parallel optical architectures and algorithms suitable for optical implementation.
The optical implementation of the algorithm is presented with an electro-optical hybrid structure.
An optical implementation is proposed by using an elementary switching unit realized with CdTe:In crystal.
Moreover, the optical implementation of the image encryption and decryption is given.
There are two approaches in the optical implementation of pattern recognition the correlation approach and the neural net approach.
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Optical implementations are discussed as numerical implementation algorithms.
We specifically discuss, in detail, neuromorphic designs including spiking neural network hardware, cellular neural network implementations, reconfigurable FPGA based implementations, in particular, for stochastic ANN models, and optical implementations.
The schematic electro-optical implementation has been presented.
In this paper we present all-optical implementations of binary adders using MZI switches, which have been validated through numerical simulation of the switch models.
The challenges that MEMS face as an enabling technology for optical switch implementation will also be discussed.
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