Paper Info
Title
A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds.
Abstract
D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. Here, standard deviation estimates obtained using DATE and truncation thresholds are compared in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately and faster with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.
Year
Venue
Keywords
2018
Signal Processing and Communications Applications Conference
computational neuroscience,extracellular neural recording,signal detection,scale estimation
Field
DocType
ISSN
Truncation,Pattern recognition,Computer science,Sorting,Artificial intelligence,Thresholding,Trimmed estimator,Standard deviation,Additive white Gaussian noise,Amplitude,Computation
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Murat Okatan1797.36