Table of Contents

Introduction. Basic Concepts. Spectral Analysis: Classical Methods. Digital Filters. Spectral Analysis: Modern Techniques. Time–Frequency Analysis. Wavelet Analysis. Advanced Signal Processing Techniques: Optimal and Adaptive Filters. Multivariate Analyses: Principal Component Analysis and Independent Component Analysis. Fundamentals of Imaging Processing: MATLAB Image Processing Toolbox. Spectral Analysis: The Fourier Transform. Image Segmentation. Image Reconstruction. Classification I: Linear Discriminant Analysis and Support Vector Machines. Adaptive Neural Nets.

Reviews

"…An excellent review of the actual trendiest techniques in signal processing with a very clear (and simplified) description of their capabilities in signal and image analysis. Matlab examples are an excellent addition to provide students with capabilities to understand better how the techniques work…"
–Enrique Nava Baro, PhD, University of MÁlaga, Spain

"The book is a welcome addition to the teaching literature for biomedical engineering, building on the previous edition’s friendly approach to introducing the material. This makes it particularly suitable for biomedical engineering, a field in which students come from a variety of backgrounds, and where familiarity of the fundamentals of electrical engineering cannot be assumed."
–David A. Clifton, University of Oxford, UK