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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

Index

  • adaptive ability 1
  • amplitude interval 1, 2
  • ANFF 1
  • ANN model 1, 2
  • anti-interference 1, 2, 3, 4
  • artificial intelligence 1, 2, 3
  • artificial neural network (ANN) 1, 2, 3, 4, 5
  • ATSC (Advanced Television Systems
  • Committee) 1
  • autocorrelation matrix 1, 2, 3, 4, 5
  • automatic equalization 1
  • Bartlett, Brilinger, and Rosenblatt 1
  • BBR formula 1
  • bilinear feedback neural network (BLRNNC) 1, 2, 3
  • bilinear recurrent neural Network (BLRNN) 1, 2, 3, 4, 5, 6
  • bilinear recurrent unit 1
  • binary coding 1, 2
  • binary encoding 1, 2, 3, 4, 5, 6, 7, 8, 9
  • biological heredity 1
  • biological neurons 1, 2
  • biological neuroscience 1
  • bit error rate (BER) 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1415, 1617, 18, 19, 20, 21, 22, 2324, 25, 26, 2728, 29, 3031, 32, 33, 34
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Publisher Resources

ISBN: 9783110449679