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.
Steerable Pyramid is a flexible wavelet decomposition method. The statistics of the wavelet coefficients is non-Gaussian, which follow the generalized Gaussian distribution (GGD). In this paper, we exploit the GGD as the modeling of the sub-band coefficients and estimate the parameter corresponding. We use the generalized non-local means expression and propose an generalized non-local means algorithm...
In this paper, a signal reconstruction algorithm using the scaled conjugate gradient method for periodic nonuniform distributed sampling systems, with applications to the time-interleaved ADCs is proposed. A series of simulation experiments are conducted to compare the performance with the previously proposed algorithms. The results addresses that the proposed robust reconstruction techique provides...
A new quasi-Newton multiuser constant modulus algorithm based on fractional lower-order statistics for the problem of blind source separation and equalization for multiple-input /multiple-output (MIMO) channels in heavy-tailed impulsive noise is introduced. This algorithm can improve the convergence performance than that of the fractional lower-order multiuser constant modulus algorithm (FLOS_MU_CMA)...
This article proposes an improved watershed algorithm based on morphological, using morphological open and close reconstruction to reduce the noise of image. Besides, with the Weber Perception Principle, it divides the morphological gradient image in the form of gray scale and non-linear and marked the gradient image with Watershed Algorithm. So it solved the over-segmentation problem of traditional...
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.