in this paper, a ground early warning receiver is introduced and explained for the reception and monitoring of signal from a space-borne synthetic aperture radar. this receiver can be used for various electronic warfare applications and implemented in two sectors of time parameter detector and frequency parameter detector. it can measure power, bandwidth, central frequency, pulse width, pulse r...

Estimation of statistical power in functional MRI (fMRI) requires knowledge of the expected percent signal change between two conditions as well as estimates of the variability in percent signal change. Variability can be divided into intra-subject variability, reflecting noise within the time series, and inter-subject variability, reflecting subject-to-subject differences in activation. The pu...

In this paper, the supervised maximum-divergence common component GMM (MD-CCGMM) model was used to the speaker-andenvironment change detection in broadcast news signal. In order to discriminate the speaker-and-environment change in broadcast news, the MD-CCGMM signal model will maximize the likelihood of CCGMM signal modeling and the divergence measure of different audio signal segments simulta...

A variety of experiments have shown that subjects tend to perceive a target flash as mislocalized when the flash is presented just before, during or shortly after the occurrence of a saccade. The characteristics of this mislocalization suggest that it arises from an anticipatory, slow extraretinal signal, i.e., the signal starts to change before a saccade and continues to change during and afte...

The change signal task is a two alternative forced choice task with the addition of a change signal presented on 1/3 of the trials at some delay relative to the initial stimulus. The change signal indicates to participants that they should inhibit their initial choice and respond with the other alternative. It provides an opportunity to examine the cognitive mechanisms involved in statistical l...

Detecting changes in time series data is an important data analysis task with application in various scientific domains. In this paper, we propose a novel approach to address the problem of change detection in time series data, which can find both the amplitude and degree of changes. Our approach is based on wavelet footprints proposed originally by the signal processing community for signal co...

Web pages change frequently and thus crawlers have to download them often. Various policies have been proposed for refreshing local copies of web pages. In this paper, we introduce a new sampling method that excels over other change detection methods in experiments. Change Frequency (CF) is a method that predicts the update frequency of the pages and achieves a better efficiency in comparison w...

For climate change projections to be useful, the magnitude of change must be understood relative to the magnitude of uncertainty in model predictions. We quantified the signal-to-noise ratio in projected distributional responses of boreal birds to climate change, and compared sources of uncertainty. Boosted regression tree models of abundance were generated for 80 boreal-breeding bird species u...

The light induced transmission change (Arsenazo signal) of an Arsenazo III injected ventral photoreceptor cell of Limulus polyphemus was studied under voltage clamp. The transmission change which represents a change of free intracellular calcium ion concentration, [Ca2+]j, was investigated for its dependence upon membrane voltage. The peak amplitude of the Arsenazo signal decreases in a linear ...