| Titre : | Biosignal and Medical Image Processing | | Type de document : | texte imprimé | | Auteurs : | John L. Semmlow, Auteur | | Mention d'édition : | 1st.+2nd. ed. | | Editeur : | Boca Raton; London; New York : CRC Press/Taylor & Françis Group | | Année de publication : | 2004+2009 | | Importance : | 450 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 25,9 cm. | | Accompagnement : | 1 st. ed. CDROM | | ISBN/ISSN/EAN : | 978-1-420-06230-4 | | Langues : | Anglais (eng) | | Catégories : | GÉNIE BIOMÉDICAL
| | Index. décimale : | 35-11 Traitement des biosignaux | | Résumé : | 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 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. | | Note de contenu : | TABLE OF CONTENTS
chapter 1 Introduction
chapter 2 Basic Concepts
chapter 3 Spectral Analysis: Classical Methods
chapter 4 Digital Filters
chapter 5 Spectral Analysis: Modern Techniques
chapter 6 Time-Frequency Methods
chapter 7 The Wavelet Transform
chapter 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters
chapter 9 Multivariate Analyses: Principal Component Analysis and Independent Component Analysis
chapter 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox
chapter 11 Image Processing: Filters, Transformations, and Registration
chapter 12 Image Segmentation
chapter 13 Image Reconstruction
chapter 14 Classification I: linear discriminant analysis and support vector machines
chapter 15 Adaptive neural nets
-Index |
Biosignal and Medical Image Processing [texte imprimé] / John L. Semmlow, Auteur . - 1st.+2nd. ed. . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2004+2009 . - 450 p. : couv. ill. en coul., ill. ; 25,9 cm. + 1 st. ed. CDROM. ISBN : 978-1-420-06230-4 Langues : Anglais ( eng) | Catégories : | GÉNIE BIOMÉDICAL
| | Index. décimale : | 35-11 Traitement des biosignaux | | Résumé : | 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 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. | | Note de contenu : | TABLE OF CONTENTS
chapter 1 Introduction
chapter 2 Basic Concepts
chapter 3 Spectral Analysis: Classical Methods
chapter 4 Digital Filters
chapter 5 Spectral Analysis: Modern Techniques
chapter 6 Time-Frequency Methods
chapter 7 The Wavelet Transform
chapter 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters
chapter 9 Multivariate Analyses: Principal Component Analysis and Independent Component Analysis
chapter 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox
chapter 11 Image Processing: Filters, Transformations, and Registration
chapter 12 Image Segmentation
chapter 13 Image Reconstruction
chapter 14 Classification I: linear discriminant analysis and support vector machines
chapter 15 Adaptive neural nets
-Index |
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