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.
This paper proposes a novel Wavelet Chaotic Simulated Annealing Neural Network (WCSANN), and apply them to search global minima of a continuous function. The WCSANN makes use of the wavelet and chaotic simulated annealing parameters of the recurrent neural network to control the network evolving behavior so that the network has richer and more flexible dynamics rather than conventional neural networks,...
In this article, a new adaptive primary user's signal detection algorithm for cognitive radio, which integrates frequency-domain block adaptive filtering with a matrix accumulation estimation, is presented with detailed description' of the concept and process of the algorithm. Then, the performance of the algorithm is analyzed and compared by simulation according to the practical requirement of cognitive...
The key to jam frequency-hopping communication is to estimate its parameters efficiently and precisely. An algorithm for estimating the hop duration of frequency hopping (FH) signals based on multi-window partially overlapped reassigned smoothed pseudo WVD (RSPWVD) and adaptive threshold detection technique is proposed. It divides the signal into segments according to some analytical window, analyses...
The key to jam frequency-hopping communication is to estimate its parameters efficiently and precisely. An algorithm for estimating the parameters of frequency hopping (FH) signals based on reassigned smoothed pseudo WVD (RSPWVD) is proposed. With the good time- frequency concentration and restraining cross-term ability of RSPWVD, this algorithm can efficiently estimate the parameters of FH signals...
This paper proposes a sub-optimal multiuser detector (MUD) algorithm for CDMA system based on the neural network with Time-varying Gain Chaotic Simulated Annealing Neural Network (TGCSANN), and gives a concrete model of the MUD after appropriate transformations and mappings. By refraining from the serious local optimal problem of Hopfield-type neural networks, the TGCSANN makes use of the time-varying...
This paper proposes a sub-optimal multiuser detector (MUD) algorithm for CDMA system based on the neural network with Time-varying Gain Chaotic Simulated Annealing Neural Network (TGCSANN), and gives a concrete model of the MUD after appropriate transformations and mappings. By refraining from the serious local optimal problem of Hopfield-type neural networks, the TGCSANN makes use of the time-varying...
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.