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.
"…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
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