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.
We propose an efficient scheme for blind image restoration that takes advantage of recent advances in blind algorithms used for equalization of communication channels. It is based on a blind adaptive algorithm that interprets images with more than two grayscale levels as images with only two grayscale levels. In order to take a greater advantage of the adaptive scheme, we also propose some changes...
It is well known that constant-modulus-based algorithms present a large mean-square error for high-order quadrature amplitude modulation (QAM) signals, which may damage the switching to decision-directed-based algorithms. In this paper, we introduce a regional multimodulus algorithm for blind equalization of QAM signals that performs similar to the supervised normalized least-mean-squares (NLMS) algorithm,...
Recently, we proposed a decision-based algorithm for blind equalization that performs similarly to a supervised algorithm in steady-state, independently of the QAM order. Using this algorithm, the usual switching to the decision-directed mode may be avoided. Additionally, a low-cost scheme based on the neighborhood of the estimated symbol was used to improve its convergence rate. In this paper, we...
We propose blind equalization algorithms that perform similarly to supervised ones, independently of the QAM order. They converge approximately to the Wiener solution, which generally provides a relatively low misadjustment. Besides presenting strategies to speed up their convergences, we provide sufficient conditions for the stability of the symbol-based decision algorithm, which is an extension...
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.