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A novel adaptive variable step-size constant module medical CT image blind equalization algorithm was proposed. The proposed algorithm overcomes the shortcoming of conventional constant module blind equalization algorithm with the fixed iteration step-size. The processing of image restoration transformed by a linear operation is equivalent to one dimensional blind equalization. The constant modulus...
A variable step size blind equalization algorithm based on minimum error probability(MEP) was proposed. The cost function based on minimum error probability was founded. And the iterative equations of the variable step size blind equalization algorithm were deduced by the steepest gradient. Simulations demonstrate that the novel proposed algorithm possessed faster convergence and smaller steady MSE...
As a key technology of digital broadcast and TV, blind equalization overcomes inter-symbol interference to improve the effect of receiving signals. A new QAM blind equalization algorithm based on fuzzy neural network classifier was proposed. Simulation shows that the new algorithm improves convergence speed and reduces residual error and BER (bit error ratio).
As a key technology in the digital communication system, blind equalization algorithm based on fuzzy neural network classifier is proposed. The algorithm overcomes bad judgment error. Channel estimation algorithm and fuzzy neural network classifier were combined to carry out equalization. The primary signal was attained by de-convolution. Judgment range of fuzzy neural network was adjusted dynamically...
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