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- W2094819884 abstract "We investigate a new technique for noise reduction in multichannel neural recordings based on the discrete wavelet transform. Starting with the denoising technique proposed by Donoho et al. (IEEE Trans. Inform. Theory 41 (1995) 613–627), we suggest a new thresholding method for the multiresolution decomposition of the multichannel data. The potential of this technique lies in the fact that thresholds at different resolution levels of the wavelet transform are estimated spatially to account for significant correlation of the wavelet coefficients across channels. The method is applied to a simulated multichannel data as well as real silicon microprobe recordings obtained in our laboratory. Preliminary results show the ability of the technique to reduce both spatially correlated and uncorrelated noise components in the neural recordings. Results are compared to existing techniques and the overall performance is evaluated." @default.
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- W2094819884 date "2001-06-01" @default.
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- W2094819884 title "Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm" @default.
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- W2094819884 doi "https://doi.org/10.1016/s0925-2312(01)00533-1" @default.
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