MATLAB and Simulink Based Books
Written for undergraduate and graduate courses, this book provides the most widely used techniques and methodologies for pattern recognition tasks. Each chapter starts with the basics, progresses to more advanced topics, and reviews up-to-date techniques. Topics covered include linear and nonlinear classifiers, system evaluation, and clustering.
MATLAB code of the most common methods is provided at the end of each chapter. In addition, demonstrations based on MATLAB are available for download.
Teaching materials based on MATLAB and Simulink