scholarly journals Detection of a spatially distributed target in white noise

1997 ◽  
Vol 4 (7) ◽  
pp. 198-200 ◽  
Author(s):  
K. Gerlach ◽  
M. Steiner ◽  
F.C. Lin
Keyword(s):  
White Noise ◽  
Spatially Distributed ◽  
Distributed Target

The response of a spatially distributed neuron to white noise current injection

1979 ◽  
Vol 33 (1) ◽  
pp. 39-55 ◽  
Author(s):  
Frederic Y. M. Wan ◽  
Henry C. Tuckwell
Keyword(s):  
White Noise ◽  
Current Injection ◽  
Noise Current ◽  
Spatially Distributed

The response of a nerve cylinder to spatially distributed white noise inputs

1980 ◽  
Vol 87 (2) ◽  
pp. 275-295 ◽  
Author(s):  
Henry C. Tuckwell ◽  
Frederick Y.M. Wan
Keyword(s):  
White Noise ◽  
Spatially Distributed

An adaptive weighted rank order detector for spatially distributed target

2012 ◽  
Vol 92 (9) ◽  
pp. 2327-2331 ◽  
Author(s):  
Fengzhou Dai ◽  
Hongwei Liu ◽  
Yunhe Cao
Keyword(s):  
Rank Order ◽  
Spatially Distributed ◽  
Distributed Target ◽  
Weighted Rank

Improved Double Threshold Detector for Spatially Distributed Target

2012 ◽  
Vol E95-B (4) ◽  
pp. 1475-1478 ◽  
Author(s):  
Teng LONG ◽  
Le ZHENG ◽  
Yang LI ◽  
Xiaopeng YANG
Keyword(s):  
Threshold Detector ◽  
Spatially Distributed ◽  
Distributed Target ◽  
Double Threshold

Integrated Fractional white Noise as an Alternative to Multifractional Brownian Motion

2007 ◽  
Vol 44 (02) ◽  
pp. 393-408 ◽  
Author(s):  
Allan Sly
Keyword(s):  
Stochastic Process ◽  
Brownian Motion ◽  
White Noise ◽  
Gaussian Process ◽  
Discrete Data ◽  
Hölder Exponent ◽  
Scaling Properties ◽  
Multifractional Brownian Motion ◽  
Local Properties

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.

Auditory Selective Attention in Cerebral-Palsied Individuals

1985 ◽  
Vol 16 (4) ◽  
pp. 260-266 ◽  
Author(s):  
Lee Ann Laraway
Keyword(s):  
Selective Attention ◽  
White Noise ◽  
Normal Subjects ◽  
Auditory Selective Attention ◽  
Normal Individuals ◽  
Significant Difference

The purpose of this study was to determine whether there is a statistically significant difference between the auditory selective attention abilities of normal and cerebral-palsied individuals. Twenty-three cerebral-palsied and 23 normal subjects between the ages of 5 and 21 were asked to repeat a series of 30 items consisting of from 2 to 4 digits in the presence of intermittent white noise. Results of the study indicate that cerebral-palsied individuals perform significantly poorer than normal individuals when the stimulus is accompanied by noise. Noise was not a significant factor in the performance of the normal subjects regardless of age.

White Noise and Stuttering

1961 ◽  
Vol 4 (1) ◽  
pp. 72-72 ◽  
Author(s):  
Samuel Sutton ◽  
Richard Allen Chase
Keyword(s):  
White Noise
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