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IEEE Trans Biomed Eng. 1993 Aug;40(8):836-41.

Optimal detection, classification, and superposition resolution in neural waveform recordings.

Author information

1
Applied Physics Laboratory, Johns Hopkins University, Laurel, MD 20723.

Abstract

The effects of noise autocorrelation on neural waveform recognition (detection, classification, and superposition resolution) are investigated in this study using microelectrode recordings from the cortex of a monkey. Optimal waveform recognition is accomplished by passing the data through a whitening filter before matched filtering for detection or template matching for classification and superposition resolution. Template matching without whitening requires about 40% higher signal-to-noise ratio than template matching with whitening for comparable classification and superposition resolution. The comparable difference for detection is 15%.

PMID:
8258452
DOI:
10.1109/10.238472
[Indexed for MEDLINE]

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