Titlebook: Advances in Heuristic Signal Processing and Applications; Amitava Chatterjee,Hadi Nobahari,Patrick Siarry Book 2013 Springer-Verlag Berlin

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Guojun Li,Di Zhang,Yongxin Lin,Jiawei Wange present work aims at developing a numerical solution for the optimal power allocation scheme via variations of the biogeography-based optimization algorithm. The proposed algorithms have been tested for several case studies, and their performances are compared with constrained versions of the diff

蚊帳

Guojun Li,Di Zhang,Yongxin Lin,Jiawei Wang experimental framework. Furthermore, for the MRE-based dynamic threshold optimization problem, a closed-form solution is proposed. This solution brings a theoretical lower bound on the operating signal-to-noise ratio concerning when the tracking system should be switched to the track-before-detect

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Luzhen Wu,Ming ShangGuan,Xu Chengired filter specification. The results presented show that filters designed using PSO-QI most closely match the design specification, and their performance is more consistent when compared with other evolutionary algorithms. The results are compared with the constrained least squares method of filte

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Lecture Notes in Electrical Engineeringthose already reported for back propagation neural network (BPNN), learning vector quantization (LVQ), and least-square support vector machine (LS-SVM) based classification algorithms. With time-domain features, the proposed modular ERNNs outshined the other classifiers by attaining 90.3–98.5?% clas