Nonlinear Channel Models and Their Simulations

This volume involves wavelet theory, neural network, echo state network, machine learning, support vector machine, chaos calculation, principal component analysis, Markov chain model, correlation entropy, fuzzy theory and other theories for nonlinear channel modeling and equalization.
The useful reference text enriches the theoretical system of nonlinear channel modeling and improving the means of establishing nonlinear channel model. It is suitable for engineering technicians, researchers and graduate students in information and communication engineering, and control science and engineering, intelligent science and technology.
Contents:IntroductionThe Theoretical Basis for the Establishment of the Satellite Channel ModelMulti-State Markov Chain Model of Satellite ChannelsNonlinear Satellite Channel Model Based on Different BackgroundsNonlinear Channel Blind Equalization Algorithm Based on Multiwavelet Double TransformNonlinear Volterra Channel Blind Equalization AlgorithmSatellite and Molecular MIMO Channel Markov Chain Model Based on Machine Learning
Readership: Researchers, professionals, academics, undergraduate and graduate students in communications, computer engineering, complex systems and AI.