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.
The main objective of this work is to present the procedure of development of a software solution, oriented to support the teaching, training and improvement of vocal techniques in the tenor vocal range, by using digital signal processing. It also attempts to expose the importance of the signal processing tools used to estimate vocal parameters, which allow the software to determine the presence of...
We propose a novel training-aided feed-forward fre-quency-offset estimation method based on CAZAC sequences. The precision and robustness of the estimator is evaluated with respect to CD and PMD for frequency offsets up to ±3.6 GHz.
In this paper, a new feature extraction technique for texture classification is proposed. Features are energy and standard deviation of spectral correlation function (SCF) of signals got from image at different regions of bifrequency plane. This scheme shows high performance in the classification of Brodatz texture images. Experimental results indicate that the proposed method improves correct classification...
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.