Biosignal and Medical Image Processing: MATLAB-Based Applications
A Practical Guide to Signal Processing Methodology\ Just as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB® examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate...
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A Practical Guide to Signal Processing MethodologyJust as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB® examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools.The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets.Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package.Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics.A solutions manual is available for instructors wishing to convert this reference to classroom use.
Ch. 1 Introduction 1Ch. 2 Basic Concepts 25Ch. 3 Spectral Analysis: Classical Methods 55Ch. 4 Digital Filters 83Ch. 5 Spectral Analysis: Modern Techniques 115Ch. 6 Time-Frequency Analysis 139Ch. 7 Wavelet Analysis 165Ch. 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters 195Ch. 9 Multivariate Analyses: Principal Component Analysis and Independent Component Analysis 223Ch. 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox 247Ch. 11 Spectral Analysis: The Fourier Transform 275Ch. 12 Image Segmentation 305Ch. 13 Image Reconstruction 335Ch. 14 Classification I: Linear Discriminant Analysis and Support Vector Machines 361Ch. 15 Adaptive Neural Nets 399Annotated Bibliography 433Index 437
