Beschreibung:
This third edition of a bestseller offers comprehensive coverage of the major approaches in biomedical signal and image processing. It provides a complete set of signal processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. This edition covers data "cleaning" methods commonly used in such areas as heart rate variability studies, along with actual examples. It also includes new end-of-chapter problems.
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.