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.
The paper presents a novel two-step approach for constructing and training of optimally weighted Euclidean distance based Radial-Basis Function (RBF) neural network. Unlike other RBF learning algorithms, the proposed paradigms use Fuzzy C-means for initial clustering and optimal learning factors to train the network parameters (i.e. spread parameter and mean vector). We also introduce an optimized...
In this paper, we propose a novel second order paradigm called optimal input normalization (OIN) to solve the problems of slow convergence and high complexity of MLP. By optimizing the non-orthogonal transformation matrix of input units in an equivalent network, OIN absorbs separate optimal learning factor for each synaptic weight as well as the threshold of hidden unit, leading to an improvement...
This paper proposes a joint carrier frequency offset (CFO) and In-phase/Quadrature-phase (I/Q) imbalance estimation and compensation method for orthogonal frequency-division-multiplexing (OFDM) systems under timing uncertainty. A matrix representation of the received signal with CFO, timing offset (TO), and I/Q imbalance is first derived. Then, a least-square CFO estimator robust against TO and I/Q...
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.