Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Correlative Learning

A Basis for Brain and Adaptive Systems

Complex Valued Nonlinear Adaptive Filters

Noncircularity, Widely Linear and Neural Models

Adaptive Signal Processing

Next Generation Solutions

Handbook on Array Processing and Sensor Networks

Multiple-Input Multiple-Output Channel Models

Theory and Practice

Kernel Adaptive Filtering

A Comprehensive Introduction

Statistical Learning Theory

Principal Component Neural Networks

Theory and Applications

Nonlinear and Adaptive Control Design

Adaptive Control of Systems with Actuator and Sensor Nonlinearities

Fuzzy And Neural Approaches in Engineering

Robust Systems Theory and Applications

Space-Time Layered Information Processing for Wireless Communications

Least-Mean-Square Adaptive Filters

Model-Based Signal Processing

Adaptive Control Design and Analysis

Nonlinear Dynamical Systems

Feedforward Neural Network Perspectives

Regularized Radial Basis Function Networks

Theory and Applications

Kalman Filtering and Neural Networks

Independent Component Analysis

Intelligent Image Processing

Stable Adaptive Control and Estimation for Nonlinear Systems

Neural and Fuzzy Approximator Techniques

Acoustic Echo and Noise Control

A Practical Approach

Recurrent Neural Networks for Prediction

Learning Algorithms, Architectures and Stability

Roots of Backpropagation

From Ordered Derivatives to Neural Networks and Political Forecasting

Adaptive Approximation Based Control

Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

Radio Resource Management in Multi-Tier Cellular Wireless Networks

Data-Variant Kernel Analysis

Bayesian Signal Processing

Classical, Modern, and Particle Filtering Methods