TY  - BOOK
AU  - Akay,Metin
ED  - IEEE Engineering in Medicine and Biology Society.
TI  - Time frequency and wavelets in biomedical signal processing
T2  - IEEE Press series in biomedical engineering
SN  - 0780311477
AV  - R857.S47 T54 1998
U1  - 610.28 21
PY  - 1998///]
CY  - Piscataway, NJ
PB  - IEEE Press
KW  - Signal processing
KW  - Wavelets (Mathematics)
KW  - Biomedical engineering
KW  - Signal Processing, Computer-Assisted
N1  - "Endorsed by the IEEE Engineering in Medicine and Biology Society."; Includes bibliographical references and index; Time-frequency analysis methods with biomedical applications --; Recent advances in time-frequency representations: some theoretical foundation; William J. Williams --; Biological applications and interpretations of time-frequency signal analysis; William J. Williams --; Application of advanced time-frequency analysis techniques to doppler ultrasound; S. Lawrence Marple, Tom Brotherton, and Doug Jones --; Analysis of EGG late potentials using time-frequency methods; Harmut Dickhaus and Hartmut Heinrich --; Time-frequency distributions applied to uterine EMG: characterization and assessment; Jacques Duchêne and Dominique Devedeux --; Time-grequency analyses of the electrogastrogram; Zhiyue Lin and Jiande Z. Chen --; recent advances in time-frequency and time-scale methods; Claudia Mello and Metin Akay --; Wavelets, Wavelet packets, and matching pursuits with biomedical applications --; Fast algorithms for wavelet transform computation; Olivier Rioul and Pierre Duhamel --; Analysis of cellular vibrations in the living cochlea using the continuous wavelet transform and the short-time fourier transform; M.C. Teich, C. Heneghan, and S.M. Khanna --; Iterative processing method using gabor wavelets and the wavelet transform for the analysis of phonocardiogram signals; Mustafa Matalgah, Jerome Knopp, and Salah Mawagdeh --; Wavelet feature extraction from neurophysiological signals; Mingui Sun and Robert J. Sclabassi --; Experiments with adapted wavelet de-noising for medical signals and images; Ronald R. Coifman and Mladen Victor Wickerhauser --; Speech enhancement for hearing aids; Janet C. Rutledge --; From continuous wavelet transform to wavelet packets: application to the estimation of pulmonary microvascular pressure; Mohsine Karrakchou and Murat Kunt --; In pursuit of time-frequency representation of brain signals; P.J. Durka and K.J. Blinowska --; EEG spike directors based on different decompositions: a comparative study; L. Senhadji, J.J. Bellanger, and G. Carrault --; Wavelets and medical imaging --; Discrete dyadic wavelet transform for multidimensional feature analysis; Iztok Koren and Andrew Laine --; Hexagonal QMF banks and wavelets; Sergio Schuler and Andrew Laine --; Inversion of the radon transform under wavelet constraints; Berkman Sahiner and Andrew E. Yagle --; Wavelets applied to mammograms; Walter B. Richardson --; Hybrid wavelet transform for image enhancement for computer-assisted diagnosis and telemedicine applications; Laurence P. Clarke ... [et al.] --; Medical image enhancement using wavelet transform and arithmedic coding; Pongskorn Saipetch ... [et al.] --; Adapted wavelet encoding in functional magnetic resonance imaging; Dennis M. Healy, Douglas W. Warner, and John B. Weaver --; Tutorial overview of a stabilization algorithm for limited-angle tomography; Tom Olson --; Wavelet compression of medical images; Armando Manduca --; Wavelets, neural networks, and fractals --; Single side scaling wavelet frame and neural network; Qinghua Zhang --; Analysis of evoked potentials using wavelet networks; Hartmut Heinrich and Hartmut Dickhaus --; Self-organizing wavelet-based neural networks; Kunikazu Kobayashi --; On wavelets and fractal processes; Patrick Flandrin --; Fractal analysis of heart rate variability; Russell Fischer and Metin Akay
N2  - ""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. ; ; For more information on the IEEE Press Series in Biomedical Engineering edited by Metin Akay, go to http://www.caip.rutgers.edu/7Eakay/book/""--Publisher description
UR  - http://catdir.loc.gov/catdir/bios/wiley043/97019866.html
ER  -