Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters > Applications of Complex-Valued Neural Networks > Learning Algorithms for Complex-Valued Neural Networks in Communication Signal Processing and Adaptive Equalization as its Application

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Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters

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Editorial Advisory Board

Section: I Complex-Valued Neural Network Models and Their Analysis

Section: II Applications of Complex-Valued Neural Networks

Ch. VII. Complex-Valued Symmetric Radial Basis Function Network for Beamforming

Ch. VIII. Complex-Valued Neural Networks for Equalization of Communication Channels

Ch. IX. Learning Algorithms for Complex-Valued Neural Networks in Communication Signal Processing and Adaptive Equalization as its Application

ABSTRACT

INTRODUCTION

BACKGROUND

THE LEARNING ALGORITHM OF THE COMPLEX-VALUED NEURAL NETWORKS

APPLICATIONS IN COMMUNICATION SIGNAL PROCESSING

CONCLUSION

FUTURE RESEARCH DIRECTION

Ch. X. Image Reconstruction by the Complex-Valued Neural Networks: Design by Using Generalized Projection Rule

Ch. XI. A Method of Estimation for Magnetic Resonance Spectroscopy Using Complex-Valued Neural Networks

Ch. XII. Flexible Blind Signal Separation in the Complex Domain

Section: III Models with High-Dimensional Parameters

Compilation of References

About the Contributors

Index

Chapter IX. Learning Algorithms for Complex-Valued Neural Networks in Communication Signal Processing and Adaptive Equalization as its Application

Cheolwoo You
Myongji University, South Korea

Daesik Hong
Yonsei University, South Korea

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Contents

Section: II Applications of Complex-Valu... > Learning Algorithms for Complex-Valu...

Chapter IX. Learning Algorithms for Complex-Valued Neural Networks in Communication Signal Processing and Adaptive Equalization as its Application