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.
Multi-band spectrum sensing is now facing challenges of high sampling rate and random access of primary users. However, these problems can be solved in terms of dynamic compressive sensing (DCS). In this paper, we propose a novel method of multi-band spectrum sensing using DCS, which can sample broadband signals at sub-Nyquist rate. The proposed method is explicitly intended for sparse streaming signal...
In this paper, we concentrate on introducing an optimized energy detection approach applied to cognitive MIMO. Firstly, the system with multiple secondary users is modeled and then the weighting factor of each secondary user is calculated and analyzed. Under the constraint that the quadratic sum of combination factors is unit, the optimal weighting factors of secondary users sharing some certain spectrum...
Eigenvalue-based algorithm is generally acknowledged to be a promising method for spectrum sensing. However, it possesses high computational complexity, because the sampled covariance matrix and the corresponding eigenvalues are calculated. Furthermore, the detection performance of eigenvalue-based algorithms experiences a huge decline when the received signals are uncorrelated. Therefore, compressed...
Extensive research on time series classification in the last decade has produced fast and accurate algorithms for the single-dimensional case. However, the increasing prevalence of inexpensive sensors has reinforced the need for algorithms to handle multi-dimensional time series. For example, modern smartphones have at least a dozen sensors capable of producing streaming time series, and hospital-based...
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.