Study of Neural Networks


Artificial neural networks are analyzed and compared for automatic deinterleaving or radar pulse trains in electronic support measures (ESM) applications. Theory behind existing neural networks is reviewed, and improvements are proposed for ESM use. Efficient and practical architectures for implementing these neural networks are developed. This includes the design, simulation, fabrication and testing of proof-of-concept software, reconfigurable hardware, and application specific integrated circuits (ASICs).

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