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In general, radar emits electromagnetic waves actively. The effective distance is far. Infrared receive the heat of goal passively. The effective distance is short. If we want to get high-performance, we should make use of the advantage of the radar. The multi sensor information fusion technique can obtain higher accuracy and more explicit conclusions than the use of a single sensor. So in this thesis,...
Time-frequency analysis is the important tool in signal processing, especially for non-stationary signals. When the interesting signals contaminated by impulsive noises, conventional time-frequency analysis method degenerate seriously because of lacking of limited second moment. In order to solve the degeneration of the estimation algorithm under non-Gaussian impulsive noise environment, the improved...
The aim of this article is to recognize public speaking anxiety based on galvanic skin response through recurrence plot and recurrence quantification analysis. Twenty-two female subjects have participated in this study, and the anxiety state is induced by anticipated and real public speaking. Two nonlinear features, recurrence rate and entropy of diagonal length, are extracted from recurrence plots...
In this paper, it is shown how 2-D continuous compressive sensing (CCS) is used to recovery the complete measurements of a uniform rectangular array from its sparse case. 2-D CCS is implemented by reweighted atomic norm minimization. Based on the recovered data covariance matrix, the 2-D directions of arrival (DOA) are estimated via the Vandermonde decomposition of Toeplitz-block-Toeplitz matrix....
This paper uses digital speech as research object. A baseline system of Mandarin whispered digital speech recognition using Hidden Markov Model is built. In this paper, the performance of the baseline recognition system is analyzed in detail and we find there are three pairs of easily confused speech. Furthermore, the cause of confusion is analyzed in depth. Then a classifier for distinguishing between...
The magnitude of the decline in performance is very alarming when the features commonly used in normal speech recognition system are directly used as the input feature of whispered speech in the speech recognition system trained by normal speech. In this paper, in order to finding the characteristics of better matching degree between normal and whispered speech, we propose a spectrum sparse-based...
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