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050 0 0 _aR857.S47
_bT54 1998
082 0 0 _a610.28
_221
245 0 0 _aTime frequency and wavelets in biomedical signal processing /
_cedited by Metin Akay.
264 1 _aPiscataway, NJ :
_bIEEE Press,
_c[1998]
264 4 _c©1998
300 _axxviii, 739 pages :
_billustrations ;
_c26 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aIEEE Press series in biomedical engineering
500 _a"Endorsed by the IEEE Engineering in Medicine and Biology Society.".
504 _aIncludes bibliographical references and index.
505 0 0 _tTime-frequency analysis methods with biomedical applications --
_tRecent advances in time-frequency representations: some theoretical foundation /
_rWilliam J. Williams --
_tBiological applications and interpretations of time-frequency signal analysis /
_rWilliam J. Williams --
_tApplication of advanced time-frequency analysis techniques to doppler ultrasound /
_rS. Lawrence Marple, Tom Brotherton, and Doug Jones --
_tAnalysis of EGG late potentials using time-frequency methods /
_rHarmut Dickhaus and Hartmut Heinrich --
_tTime-frequency distributions applied to uterine EMG: characterization and assessment /
_rJacques Duchêne and Dominique Devedeux --
_tTime-grequency analyses of the electrogastrogram /
_rZhiyue Lin and Jiande Z. Chen --
_trecent advances in time-frequency and time-scale methods /
_rClaudia Mello and Metin Akay --
_tWavelets, Wavelet packets, and matching pursuits with biomedical applications --
_tFast algorithms for wavelet transform computation /
_rOlivier Rioul and Pierre Duhamel --
_tAnalysis of cellular vibrations in the living cochlea using the continuous wavelet transform and the short-time fourier transform /
_rM.C. Teich, C. Heneghan, and S.M. Khanna --
_tIterative processing method using gabor wavelets and the wavelet transform for the analysis of phonocardiogram signals /
_rMustafa Matalgah, Jerome Knopp, and Salah Mawagdeh --
_tWavelet feature extraction from neurophysiological signals /
_rMingui Sun and Robert J. Sclabassi --
_tExperiments with adapted wavelet de-noising for medical signals and images /
_rRonald R. Coifman and Mladen Victor Wickerhauser --
_tSpeech enhancement for hearing aids /
_rJanet C. Rutledge --
_tFrom continuous wavelet transform to wavelet packets: application to the estimation of pulmonary microvascular pressure /
_rMohsine Karrakchou and Murat Kunt --
_tIn pursuit of time-frequency representation of brain signals /
_rP.J. Durka and K.J. Blinowska --
_tEEG spike directors based on different decompositions: a comparative study /
_rL. Senhadji, J.J. Bellanger, and G. Carrault --
_tWavelets and medical imaging --
_tDiscrete dyadic wavelet transform for multidimensional feature analysis /
_rIztok Koren and Andrew Laine --
_tHexagonal QMF banks and wavelets /
_rSergio Schuler and Andrew Laine --
_tInversion of the radon transform under wavelet constraints /
_rBerkman Sahiner and Andrew E. Yagle --
_tWavelets applied to mammograms /
_rWalter B. Richardson --
_tHybrid wavelet transform for image enhancement for computer-assisted diagnosis and telemedicine applications /
_rLaurence P. Clarke ... [et al.] --
_tMedical image enhancement using wavelet transform and arithmedic coding /
_rPongskorn Saipetch ... [et al.] --
_tAdapted wavelet encoding in functional magnetic resonance imaging /
_rDennis M. Healy, Douglas W. Warner, and John B. Weaver --
_tTutorial overview of a stabilization algorithm for limited-angle tomography /
_rTom Olson --
_tWavelet compression of medical images /
_rArmando Manduca --
_tWavelets, neural networks, and fractals --
_tSingle side scaling wavelet frame and neural network /
_rQinghua Zhang --
_tAnalysis of evoked potentials using wavelet networks /
_rHartmut Heinrich and Hartmut Dickhaus --
_tSelf-organizing wavelet-based neural networks /
_rKunikazu Kobayashi --
_tOn wavelets and fractal processes /
_rPatrick Flandrin --
_tFractal analysis of heart rate variability /
_rRussell Fischer and Metin Akay.
520 _a""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.
588 _aMachine converted from AACR2 source record.
650 0 _aSignal processing
_9324024
650 0 _aWavelets (Mathematics)
_9327739
650 0 _aBiomedical engineering.
_9314581
650 2 _aSignal Processing, Computer-Assisted
_9359648
700 1 _aAkay, Metin,
_eeditor.
_91030665
710 2 _aIEEE Engineering in Medicine and Biology Society.
_9229478
830 0 _aIEEE Press series in biomedical engineering.
_9241220
856 4 2 _3Contributor biographical information
_uhttp://catdir.loc.gov/catdir/bios/wiley043/97019866.html
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