The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper a method of detection performance of C-band radar in sea clutter using radar equation is discussed. The compound K-distribution is employed to model sea clutter. GIT model provides the normalized clutter RCS. The results show that the detection performance does not always get worse as the range increases. This will give help to the development of maritime radar.
Improving the reliability of bus service has the potential to increase the attractiveness of public transit to current and prospective riders. An understanding of service reliability is necessary to develop strategies that help transit agencies provide better services. However, few studies have been conducted analyzing bus reliability in the metropolis of China. This paper presents an in-depth analysis...
Robust voice based features for biometric authentication in noisy environments are proposed. The proposed processing includes gamma tone auditory bandpass filtering of speech signal, rectification, and compression to model the effects of the auditory system periphery. Three features are extracted by applying independent component analysis to the frequency, cepstral and auto-correlogram domains of...
In this paper, we present a novel feature specifically designed for speaker identification in noisy environments. Gammatone auditory filterbank and independent component analysis (GTF-ICA) feature emphasises the difference in the statistical structures of the human cochlea frequency bands among speakers. This method results in significant improvements in the identification accuracy over the conventional...
In this paper, we present a novel algorithm specifically designed for speaker identification applications. The proposed algorithm is an extension of the previously developed Gammatone auditory filterbank and independent component analysis (GTF-ICA) method. GTF-ICA extracts features which emphasis the difference in the statistical structures in human cochlea frequency bands among the speakers. This...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.