Detection of periodically and randomly interrupted noise signals

Understanding Periodically Interrupted Mandarin Speech

This study investigated the effects of two parameters (i.e., interruption rate, and duty cycle of interruption) on the perception of periodically interrupted Mandarin speech. Normal-hearing listeners were instructed to identify consonant/vowel/tone/word from isolated Mandarin words and recognize Mandarin sentences when they were temporally interrupted by square wave. Results showed that consist...

Detection and Estimation of Signals in Noise

Cyclostationarity-Based Detection of Randomly Arriving or Departing Signals

This paper addresses the problem of detection of randomly arriving or departing primary user (PU) signals in cognitive radio systems. The detection problem of the dynamic PU signal is modeled as a binary hypothesis testing problem where the PU signal might randomly depart or arrive during the sensing period. Then, we detect the cyclostationarity of the PU signal using a test statistic derived f...

Robust detection of signals in dependent noise

The robust detection of signals in additive dependent noise is considered. The solution to the finite-sample problem is obtained when the Bayes risk is used as the performance measure. For the multivariate densities involved we assume that they belong to an c-contamination model. The robust detection structure is shown to be optimum for the least-favorable density and is a censored version of t...

Cross Correlation and Deconvolution of Noise Signals in Randomly Layered Media

It is known that cross correlation of waves generated by noise sources, propagating in an unknown medium, and recorded by a sensor array, can provide information about the medium. In this paper the medium is a three-dimensional small-scale randomly layered medium with slow macroscopic variations. The main objective is here to set forth a framework for analysis of cross correlations of waves gen...