WebThis paper extends the BD method, which is based on maximizing the second-order cyclostationarity, to maximize the generalized Gaussian cyclostationarity to extract fault features from non-Gaussian signals. In addition, the generation of the weighting matrix now incorporates the estimation of fault frequencies. WebThe strategy network based on strategy gradient is used to optimize the template update and re detection strategy, which improves the overall tracking accuracy and efficiency of the model. Simulation experiments on an embedded device and multiple standard data sets show that compared with the current mainstream algorithms, the tracking accuracy ...
The Application of Cyclostationary Malware Detection Using
WebThe simulation results shows that the cyclostationarity based detection could improve the sensing accuracy, especially in the low SNR region. The remainder of this paper is … Webfilter and cyclostationarity based hypothe-sis test, gives better detection performance as compared to energy detection and cy-clostationary detection without FRESH filters. … bis trimethoxysilylpropyl amin
Cyclic Correntropy: Foundations and Theories - IEEE Xplore
WebCyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals — analog and digital alike. This thesis reports on an ... WebSignal detection is another technique adopted in this work. In order to reduce the interference of the noise to the detection of signal number, some good methods were proposed, such as classic signal detection algorithms containing energy detection , matched-filter detection , cyclostationarity-based detection , etc. WebCyclostationarity-based cooperative spectrum sensing for cognitive radio networks. Abstract: In order to ensure trustworthy coexistence of unlicensed cognitive radio (CR) … dartington blue glass vase