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.
A reliable support detection is essential for a greedy algorithm to reconstruct a sparse signal accurately from compressed and noisy measurements. This paper proposes a novel support detection method for greedy algorithms, which is referred to as maximum a posteriori (MAP) support detection. Unlike existing support detection methods that identify support indices with the largest correlation value...
Existing compressive sensing techniques mostly consider the sparsity of signals in one dimension. However, a very important case that has rarely been studied is when the signal of interest is time varying and signal coefficients have correlation in time. Our proposed algorithm in this paper is a structure-aware version of the compressive sensing reconstruction via belief propagation proposed by Baron...
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.