Author: John L. Semmlow
Edition: 2
Publisher: CRC Press
Binding: Hardcover
ISBN: 1420062301
Biosignal and Medical Image Processing, Second Edition (Signal Processing and Communications)
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. Medical books Biosignal and Medical Image Processing, Second Edition . 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 Medical books "Biosignal and Medical Image Processing, Second Edition (Signal Processing and Communic)". "This second edition of a popular volume provides a complete set of signal processing tools including diagnostic decision-making tools and classification methods. New chapters cover adaptive neural nets, linear discriminators, and support vector machines. Examples and problems in MATLAB® encourage exploration of important properties of signal and image processing tools. An accompanying CD-ROM features data, support subroutines, and source code from examples in the text. An educational support CD-ROM that contains a solutions manual, a suggested syllabus, and PowerPoint® presentations of all chapters is also available for qualified instructors.File Size: 18171 KBPrint Length: 472 pagesPublisher: CRC Press; 2 edition (July 16, 2011) Sold by: Amazon Digital Services, Inc.Language: EnglishASIN: B005H7Z5SI"
Download link for Biosignal And Medical Image Processing, Second Edition (signal Processing And Co
"This second edition of a popular volume provides a complete set of signal processing tools including diagnostic decision-making tools and classification methods. New chapters cover adaptive neural nets, linear discriminators, and support vector machines. Examples and problems in MATLAB® encourage exploration of important properties of signal and image processing tools. An accompanying CD-ROM features data, support subroutines, and source code from examples in the text. An educational support CD-ROM that contains a solutions manual, a suggested syllabus, and PowerPoint® presentations of all
"This second edition of a popular volume provides a complete set of signal processing tools including diagnostic decision-making tools and classification methods. New chapters cover adaptive neural nets, linear discriminators, and support vector machines. Examples and problems in MATLAB® encourage exploration of important properties of signal and image processing tools. An accompanying CD-ROM features data, support subroutines, and source code from examples in the text. An educational support CD-ROM that contains a solutions manual, a suggested syllabus, and PowerPoint® presentations of all
"This second edition of a popular volume provides a complete set of signal processing tools including diagnostic decision-making tools and classification methods. New chapters cover adaptive neural nets, linear discriminators, and support vector machines. Examples and problems in MATLAB® encourage exploration of important properties of signal and image processing tools. An accompanying CD-ROM features data, support subroutines, and source code from examples in the text. An educational support CD-ROM that contains a solutions manual, a suggested syllabus, and PowerPoint® presentations of all
"This second edition of a popular volume provides a complete set of signal processing tools including diagnostic decision-making tools and classification methods. New chapters cover adaptive neural nets, linear discriminators, and support vector machines. Examples and problems in MATLAB® encourage exploration of important properties of signal and image processing tools. An accompanying CD-ROM features data, support subroutines, and source code from examples in the text. An educational support CD-ROM that contains a solutions manual, a suggested syllabus, and PowerPoint® presentations of all
Medical Book Biosignal and Medical Image Processing, Second Edition
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.
