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For greatly overcoming the disadvantages of low convergence rate and local minima of constant modulus algorithm(CMA), a support vector machine blind equalization algorithm based on orthogonal wavelet transformation(WT-SVM) was proposed. The proposed WT-SVM algorithm employs the support vector machine for overcoming the local minima in convergence process and uses orthogonal wavelet transform to reduce...
Radial Basis Function (RBF) networks have simple network structures and fast convergence speed. In this paper, we propose a fuzzy neural network blind equalization algorithm based on radial basis function (FNN-RBF-BLE). The proposed algorithm defines the centers of RBF equalizer by analyzing the relationship of the input signal of equalizer and transmitted signal, therefore the structures of equalizer...
In order to overcome the slow convergence rate and larger mean square error of feed-forward neural network (FNN) blind equalization algorithm, a feed-forward neural network blind equalization algorithm based on super-exponential iterative (SEI) is proposed, on basis of the futures of super-exponential iterative and feed-forward neural network blind equalization algorithm. The proposed algorithm has...
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