Time Frequency And Wavelets In Biomedical Signal Processing


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Time Frequency and Wavelets in Biomedical Signal Processing


Time Frequency and Wavelets in Biomedical Signal Processing

Author: Metin Akay

language: en

Publisher: Wiley-IEEE Press

Release Date: 1998


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Biomedical Engineering Time Frequency and Wavelets in Biomedical Signal Processing IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor Endorsed by the IEEE Engineering in Medicine and Biology Society Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal Processing introduces time-frequency, time-scale, wavelet transform methods, and their applications in biomedical signal processing. This edited volume incorporates the most recent developments in the field to illustrate thoroughly how the use of these time-frequency methods is currently improving the quality of medical diagnosis, including technologies for assessing pulmonary and respiratory conditions, EEGs, hearing aids, MRIs, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets in Biomedical Signal Processing will be of particular interest to signal processing engineers, biomedical engineers, and medical researchers. Topics covered include: Time-frequency analysis methods and biomedical applications Wavelets, wavelet packets, and matching pursuits and biomedical applications Wavelets and medical imaging Wavelets, neural networks, and fractals

Time frequency and wavelets in biomedical signal processing


Time frequency and wavelets in biomedical signal processing

Author: Metin Akay

language: es

Publisher:

Release Date: 1997


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Biomedical Signal and Image Processing


Biomedical Signal and Image Processing

Author: Kayvan Najarian

language: en

Publisher: CRC Press

Release Date: 2016-04-19


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Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based.