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 investigate the Compressed Sensing (CS) of digital signals with finite alphabets. More specifically, multiple-phase-shift-keying (M-PSK) alphabet is studied. Exploring the finite alphabets character, the sampling procedure can be achieved at Sub-Nyquist rate. Considering the modulation procedure, the model can also serve to a joint demodulation model. Furthermore, the sampling rate required here...
In order to improve the identification performance under unknown target population conditions, a new greedy matching pursuit algorithm (GMP) based localization algorithm is proposed. First of all, based on the possible target position estimations by traditional GMP algorithm, a redefined threshold is proposed to choose more possible target positions from the remaining grids. So the missing probability...
The Nth Power Nonlinear Transformation (NPT) is a common method for automatic modulation classification, especially for PSK signals. However, greater than Nyquist rate sampling is essential for features extraction in NPT. In this paper, introducing the compressive sensing (CS) theory, we propose a novel Automatic Modulation Recognition (AMR) method based on the frequency spectrum of the Nth power...
Moving object detection plays a key role in video surveillance. A number of object detection methods have been proposed in the spatial domain. In this paper, we propose a compressed sensing (CS)-based algorithm for the detection of moving object in video sequences. First, we propose an object detection model to simultaneously reconstruct the foreground, background, and video sequence using the sampled...
Compressive sensing (CS) aims at acquiring and reconstructing sparse signals at a low sampling rate, and thus has wide applications in video processing. In this paper, an inductive three-dimensional sparsity measure (I_3DSM) is proposed for real-time video reconstruction. In the proposed sparsity measure, we utilize an online trained projection matrix to exploit the low-rank property of video sequence...
For fast acquisition of GPS pseudo-noise (PN) code, folding is often used to speed up the search process. By properly incorporating the folding in the compressive sensing (CS) framework, a new low-complexity GPS signal acquisition scheme is proposed. In the CS reconstruction step, a new method is proposed termed projection elimination (PE) algorithm, which has lower computational complexity and nearly...
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.