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In many practical problems, measurement noise data are often skewed, heterogeneous, or containing outliers. The Gaussian or even Student-t measurement noise settings are often not fit to the request of system. A novel EKF filtering algorithm for nonlinear discrete state-space models with skewed Student-t measurement noise is presented. The algorithm makes use of the method of Variational Bayes to...
This paper studies the air bearing features on discrete track media by very small mesh size. The mesh size is only 5 nm, and it allows to study the air bearing characteristics of a small square pad flying on discrete track media with sub-micrometer groove pitch. The air bearing spikes and the flying height loss are calculated and discussed. It is observed that the air bearing spikes exist mainly on...
This paper presents a novel SINS/GPS tightly integrated navigation algorithm based on Adaptive Extended Kalman Filtering. This algorithm is mainly used in vehicle SINS/GPS integrated navigation system to deal with time varied noise statistic in different working conditions. First, measurement noise covariance is estimated through innovation sequence online, then the covariance matching algorithm is...
Amplitude Modulation spectrogram (AMS) can reflect the orthogonality between the "periodotopical" organization and the tonotopical organization in neurons. So we can use it as a reliable discrimination between speech and noise. This paper presents a novel approach of robust speech recognition by using AMS and Spectrum Subtraction with Confidence Interval Test. By dynamic using Confidence...
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