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Particle swarm optimization (PSO) is a relatively new swarm intelligence-based heuristic global optimization technique, because it is easy to understand and implement and global search ability is very strong, so it has become one of the fastest intelligent optimization algorithm. Huffman tree is widely used in image compression. Based on the before research that use PSO to solve Multi_ship avoid collision,...
CMA is a robust blind equalization algorithm in the communication system, but slow convergence rate and big steady-state residual error is the drawbacks of CMA. in this paper, a correction leakage CMA by average instantaneous error was proposed, The introduction of leakage factor in order to overcome the spread of errors generated in the weight update processing, at the same time, leakage CMA correct...
Blind equalization based on wavelet neural network optimizing by genetic algorithm was proposed for the conventional gradient algorithm is sensitive to the values of the initial parameters. At beginning, a segment finite data was collected for genetic algorithm to get a group of asymptotically optimal initial parameters. And then, gradient-descent algorithm was adopted to train network to trace and...
A blind equalization based on neural network under LS criterion was proposed in this paper and gradient iteration algorithm adopted to avoid computing the reverse matrix of correlation of input signal. The BP algorithm in the traditional blind equalization based on feedforward neural network is a stochastic gradient descent algorithm, which has low convergence rate and high residual error; meanwhile,...
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