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The human rewards network is a complex system spanning both cortical and subcortical regions. While much is known about the functions of the various components of the network, research on the behavior of the network as a whole has been stymied due to an inability to detect signals at a high enough temporal resolution from both superficial and deep network components simultaneously. In this paper,...
The local maxima of the absolute values of the wavelet coefficients are used to measure the cross-correlation between a pair of input signals. Unlike the classical method which uses the cross-correlation coefficients where all data points are given equal weights, this approach utilizes the edge points only. These edge points are compared in pairs forming a cross-correlation vector whose length is...
The origin and geometrical characteristics of auto- and cross-components in the Wigner distribution (WD) are investigated utilizing a probe signal. Techniques for eliminating cross-components are reviewed and compared. These methods include local smoothing of the WD using Gaussian and other kinds of smoothing windows, adaptive variation of the smoothing window parameters according to the signal's...
Synchronous data acquisition and averaging are effective methods for noise reduction. However, if phase shifts are present in the synchronously acquired epochs prior to averaging, the effectiveness is greatly reduced. The errors caused by these phase shifts are examined. The desynchronization error which occurs when the acquisition repetition frequency is not an integer multiple of the signal's frequency...
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