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Cognitive architecture for wideband, low-power, real-time signal denoising
Cognitive architecture for wideband, low-power, real-time signal denoising
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机译:宽带,低功耗,实时信号去噪的认知架构
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摘要
Described is a cognitive signal processor that can denoise an input signal that contains a mixture of waveforms over a large bandwidth. Delay-embedded mixture signals are generated from a mixture of input signals. The delay-embedded mixture signals are mapped with a reservoir computer to reservoir states of a dynamical reservoir having output layer weights. The output layer weights are adapted based on short-time linear prediction. Finally, a denoised output of the mixture of input signals is generated.
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