Med Biol Eng Comput - Denoising and compression of intracortical signals with a modified MDL criterion.

Tópicos

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Resumo

Intracortical signals are usually affected by high levels of noise [0?dB signal-to-noise ratio (SNR) is not uncommon] often due to magnetic or electrical coupling between surrounding sources and the recording system. Apart from hindering effective exploitation of the information content in the signals, noise also influences the bandwidth needed to transmit them, which is a problem especially when a large number of channels are to be recorded. In this paper, we propose a novel technique for joint denoising and compression of intracortical signals based on the minimum description length principle. This method was tested on both simulated and experimental signals, and the results showed that the proposed technique achieves improvements in SNR and compression ratios greater than alternative denoising/compression methods.

Resumo Limpo

intracort signal usual affect high level nois db signaltonois ratio snr uncommon often due magnet electr coupl surround sourc record system apart hinder effect exploit inform content signal nois also influenc bandwidth need transmit problem especi larg number channel record paper propos novel techniqu joint denois compress intracort signal base minimum descript length principl method test simul experiment signal result show propos techniqu achiev improv snr compress ratio greater altern denoisingcompress method

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