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Blind Equalization in Neural Networks
book

Blind Equalization in Neural Networks

by Liyi Zhang, Tsinghua University Tsinghua University Press
December 2017
Intermediate to advanced content levelIntermediate to advanced
268 pages
7h 59m
English
De Gruyter
Content preview from Blind Equalization in Neural Networks

Compared with divergence minimum blind restoration algorithm, the table shows that PSNR and ISNR are improved by neural network blind equalization algorithm based on double zigzag image coding,. The image is transformed into a one-dimensional complex signal sequence by the complex valued transform. As a result, the amount of computation increases. Compared with Dispersion minimization algorithm, IBD algorithm and Maximum likelihood algorithm, the complexity increased while PSNR and ISNR are improved for medical CT image neural network blind equalization algorithm based on double zigzag encoding. The MSE is reduced.

8.4Summary

Medical CT image neural network blind equalization algorithm based on Zigzag encoding is analyzed in this chapter. The ...

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Publisher Resources

ISBN: 9783110449679