000 | 09561nam a2201813 i 4500 | ||
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001 | 5263548 | ||
003 | IEEE | ||
005 | 20220712205635.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151221s1997 njua ob 001 eng d | ||
020 | _a1601194234 | ||
020 |
_a9780470546697 _qelectronic |
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020 |
_z9780780311473 _qprint |
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020 |
_z0470546697 _qelectronic |
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024 | 7 |
_a10.1109/9780470546697 _2doi |
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035 | _a(CaBNVSL)mat05263548 | ||
035 | _a(IDAMS)0b000064810c3839 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aR857.S47 _bT54 1998eb |
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082 | 0 | 4 |
_a610/.28 _222 |
245 | 0 | 0 |
_aTime frequency and wavelets in biomedical signal processing / _cedited by Metin Akay. |
264 | 1 |
_aPiscataway, New Jersey : _bIEEE Press, _cc1998. |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1997] |
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300 |
_a1 PDF (xxviii, 739 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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490 | 1 |
_aIEEE press series on biomedical engineering ; _v1 |
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504 | _aIncludes bibliographical references. | ||
505 | 0 | _aList of Contributors -- Preface -- TIME-FREQUENCY ANALYSIS METHODS WITH BIOMEDICAL APPLICATIONS -- Recent Advances in Time-Frequency Representations: SomeTheoretical Foundation (W. Williams) -- Biological Applications and Interpretations of Time-Frequency Signal Analysis (W. Williams) -- The Application of Advanced Time-Frequency Analysis Techniques to Doppler Ultrasound (S. Marple, et al.) -- Analysis of ECG Late Potentials Using Time-Frequency Methods (H. Dickhaus & H. Heinrich) -- Time-Frequency Distributions Applied to Uterine EMG: Characterization and Assessment (J. Duchene & D. Devedeux) -- Time-Frequency Analyses of the Electrogastrogram (Z. Lin and J. Chen) -- Recent Advances in Time-Frequency and Time-Scale Methods (C. Mello & M. Akay) -- WAVELETS, WAVELET PACKETS, AND MATCHING PURSUITS WITH BIOMEDICAL APPLICATIONS -- Fast Algorithms for Wavelet Transform Computation (O. Rioul & P. Duhamel) -- Analysis of Cellular Vibrations in the Living Cochlea Using the Continuous Wavelet Transform and the Short-Time Fourier Transform (M. Teich, et al.) -- Alterative Processing Method Using Gabor Wavelets and the Wavelet Transform for the Analysis of Phonocardiogram Signals (M. Matalgah, et al.) -- Wavelet Feature Extraction from Neurophysiological Signals (M. Sun & R. Sclabassi) -- Experiments with Adapted Wavelet De-Noising for Medical Signals and Images (R. Coifman & M. Wickerhauser) -- Speech Enhancement for Hearing Aids (J. Rutledge) -- From Continuous Wavelet Transform to Wavelet Packets: Application to the Estimation of Pulmonary Microvascular Pressure (M. Karrakchou & M. Kunt) -- In Pursuit of Time-Frequency Representation of Brain Signals (P. Durka & K. Blinowska) -- EEG Spike Directors Based on Different Decompositions: A Comparative Study (L. Senhadji, et al.) -- WAVELETS AND MEDICAL IMAGING -- A Discrete Dyadic Wavelet Transform for Multidimensional Feature Analysis (I. Koren & A. Laine) -- Hexagonal QMF Banks and Wavelets (S. Schuler & A. Laine) -- Inversion of the Radon Transform under Wavelet Constraints (B. Sahiner & A. Yagle). | |
505 | 8 | _aWavelets Applied to Mammograms (W. Richardson) -- Hybrid Wavelet Transform for Image Enhancement forComputer-Assisted Diagnosis and Telemedicine Applications (L. Clarke, et al.) -- Medical Image Enhancement Using Wavelet Transform and Arithmetic Coding (P. Saipetch, et al.) -- Adapted Wavelet Encoding in Functional Magnetic Resonance Imaging (D. Healy, et al.) -- A Tutorial Overview of a Stabilization Algorithm for Limited-Angle Tomography (T. Olson) -- Wavelet Compression of Medical Images (A. Manduca) -- WAVELETS, NEURAL NETWORKS, AND FRACTALS -- Single Side Scaling Wavelet Frame and Neural Network (Q. Zhang) -- Analysis of Evoked Potentials Using Wavelet Networks (H. Heinrich & H. Dickhaus) -- Self-Organizing Wavelet-Based Neural Networks (K. Kobayashi) -- On Wavelets and Fractal Processes (P. Flandrin) -- Fractal Analysis of Heart Rate Variability (R. Fischer & M. Akay) -- Index -- Editor's Biography. | |
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aBrimming 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. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/21/2015. | ||
650 | 0 |
_aSignal processing. _94052 |
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650 | 0 |
_aWavelets (Mathematics) _910807 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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655 | 0 |
_aElectronic books. _93294 |
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695 | _aAlgorithm design and analysis | ||
695 | _aApproximation algorithms | ||
695 | _aApproximation methods | ||
695 | _aArtificial neural networks | ||
695 | _aAuditory system | ||
695 | _aAutoregressive processes | ||
695 | _aBiographies | ||
695 | _aBiological system modeling | ||
695 | _aBiology | ||
695 | _aBiomedical imaging | ||
695 | _aBiomembranes | ||
695 | _aBook reviews | ||
695 | _aBrain models | ||
695 | _aBreast | ||
695 | _aBrownian motion | ||
695 | _aClassification algorithms | ||
695 | _aConstruction industry | ||
695 | _aContinuous wavelet transforms | ||
695 | _aCorrelation | ||
695 | _aCovariance matrix | ||
695 | _aData models | ||
695 | _aDesign automation | ||
695 | _aDetectors | ||
695 | _aDiscrete wavelet transforms | ||
695 | _aDoppler effect | ||
695 | _aEar | ||
695 | _aEigenvalues and eigenfunctions | ||
695 | _aElectric potential | ||
695 | _aElectrocardiography | ||
695 | _aElectrodes | ||
695 | _aElectroencephalography | ||
695 | _aElectromyography | ||
695 | _aEncoding | ||
695 | _aEpilepsy | ||
695 | _aEstimation | ||
695 | _aExponential distribution | ||
695 | _aFeature extraction | ||
695 | _aFeedforward neural networks | ||
695 | _aFilter bank | ||
695 | _aFiltering | ||
695 | _aFiltering theory | ||
695 | _aFinite impulse response filter | ||
695 | _aFiring | ||
695 | _aFourier series | ||
695 | _aFourier transforms | ||
695 | _aFractals | ||
695 | _aFrequency modulation | ||
695 | _aFunction approximation | ||
695 | _aGain | ||
695 | _aHearing aids | ||
695 | _aHeart | ||
695 | _aHeart rate variability | ||
695 | _aHospitals | ||
695 | _aImage coding | ||
695 | _aImage enhancement | ||
695 | _aImage reconstruction | ||
695 | _aIndexes | ||
695 | _aInterference | ||
695 | _aKernel | ||
695 | _aLattices | ||
695 | _aLesions | ||
695 | _aLibraries | ||
695 | _aLow pass filters | ||
695 | _aMagnetic resonance imaging | ||
695 | _aMammography | ||
695 | _aMatching pursuit algorithms | ||
695 | _aMaximum likelihood detection | ||
695 | _aMaximum likelihood estimation | ||
695 | _aMeasurement | ||
695 | _aMedical diagnostic imaging | ||
695 | _aModulation | ||
695 | _aNeurons | ||
695 | _aNoise | ||
695 | _aNoise reduction | ||
695 | _aNonlinear filters | ||
695 | _aRecruitment | ||
695 | _aResumes | ||
695 | _aSections | ||
695 | _aSignal analysis | ||
695 | _aSignal resolution | ||
695 | _aSignal to noise ratio | ||
695 | _aSingular value decomposition | ||
695 | _aSmoothing methods | ||
695 | _aSpectral analysis | ||
695 | _aSpectrogram | ||
695 | _aSpeech | ||
695 | _aStomach | ||
695 | _aSurface waves | ||
695 | _aTime frequency analysis | ||
695 | _aTime varying systems | ||
695 | _aTomography | ||
695 | _aTransforms | ||
695 | _aTransient analysis | ||
695 | _aTwo dimensional displays | ||
695 | _aUltrasonic imaging | ||
695 | _aVectors | ||
695 | _aVibration measurement | ||
695 | _aVibrations | ||
695 | _aWavelet analysis | ||
695 | _aWavelet coefficients | ||
695 | _aWavelet domain | ||
695 | _aWavelet packets | ||
695 | _aWavelet transforms | ||
700 | 1 |
_aAkay, Metin. _926043 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _926693 |
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710 | 2 |
_aJohn Wiley & Sons, _epublisher. _96902 |
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710 | 2 |
_aIEEE Engineering in Medicine and Biology Society. _926044 |
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730 | 0 |
_aKnovel _h[ressource �electronique]. _926223 |
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776 | 0 | 8 |
_iPrint version: _z9780780311473 |
830 | 0 |
_aIEEE Press series in biomedical engineering ; _v1 _926694 |
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856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263548 |
942 | _cEBK | ||
999 |
_c73850 _d73850 |