This comprehensive compendium highlights the research results of nonlinear channel modeling and simulation. Nonlinear channels include nonlinear satellite channels, nonlinear Volterra channels, molecular MIMO channels, etc.

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:

• Introduction


• The Theoretical Basis for the Establishment of the Satellite Channel Model


• Multi-State Markov Chain Model of Satellite Channels


• Nonlinear Satellite Channel Model Based on Different Backgrounds


• Nonlinear Channel Blind Equalization Algorithm Based on Multiwavelet Double Transform


• Nonlinear Volterra Channel Blind Equalization Algorithm


• Satellite 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.