|Listed in category:
This item is out of stock.
Postage and deliveryClick "see details" for additional postage and returns information.
Have one to sell?

Time Frequency and Wavelets in Biomedical Signal Processing by Metin Akay: Used

US $299.84
ApproximatelyAU $436.93
Condition:
Good
Postage:
Free Standard Shipping.
Located in: Sparks, Nevada, United States
Delivery:
Estimated between Tue, 1 Oct and Sat, 5 Oct to 43230
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the postage service selected, the seller's postage history, and other factors. Delivery times may vary, especially during peak periods.
Returns:
30-day returns. Buyer pays for return postage.
Payments:
    

Shop with confidence

eBay Money Back Guarantee
Get the item you ordered or your money back. Learn moreeBay Money Back Guarantee - opens new window or tab
Seller assumes all responsibility for this listing.
eBay item number:285243475749
Last updated on 17 Aug, 2024 06:37:02 AESTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Time Frequency and Wavelets in Biomedical Signal Processing
Publication Date
1997-11-07
Pages
768
ISBN
9780780311473
Subject Area
Mathematics, Technology & Engineering, Science
Publication Name
Time Frequency and Wavelets in Biomedical Signal Processing
Publisher
Wiley & Sons, Incorporated, John
Item Length
10.1 in
Subject
Biotechnology, Signals & Signal Processing, Mathematical Analysis, Biomedical
Publication Year
1997
Series
IEEE Press Series on Biomedical Engineering Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.7 in
Author
Metin Akay
Item Weight
45.5 Oz
Item Width
7.3 in
Number of Pages
768 Pages

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0780311477
ISBN-13
9780780311473
eBay Product ID (ePID)
742940

Product Key Features

Number of Pages
768 Pages
Publication Name
Time Frequency and Wavelets in Biomedical Signal Processing
Language
English
Publication Year
1997
Subject
Biotechnology, Signals & Signal Processing, Mathematical Analysis, Biomedical
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Author
Metin Akay
Series
IEEE Press Series on Biomedical Engineering Ser.
Format
Hardcover

Dimensions

Item Height
1.7 in
Item Weight
45.5 Oz
Item Length
10.1 in
Item Width
7.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
97-019866
Dewey Edition
21
Series Volume Number
1
Dewey Decimal
610/.28
Table Of Content
List 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. Rutledg e). 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 ). Wavelets 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.
Synopsis
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, 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, 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.
LC Classification Number
R857.S47T54 1998

Item description from the seller

AlibrisBooks

AlibrisBooks

98.8% positive Feedback
1.8M items sold
Joined May 2008
Alibris is the premier online marketplace for independent sellers of new & used books, as well as rare & collectible titles. We connect people who love books to thousands of independent sellers around ...
See more

Detailed seller ratings

Average for the last 12 months
Accurate description
4.9
Reasonable postage costs
5.0
Postage speed
4.9
Communication
4.9

Seller Feedback (474,137)

  • s***s (126)- Feedback left by buyer.
    Past month
    Verified purchase
    This is an outstanding seller to deal with. Fair prices that are more than reasonable in this economy. The product is in better condition than described, a true value for my money. Packaged and shipped well shows seller has concern for the products he sells to arrive in excellent condition. The seller is friendly and communicates timely with his customers. I highly recommend this seller and would do business again anytime. Thank you!
  • p***p (47)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Great seller! Item is what I ordered; good communication; shipped promptly; good value. NOTE TO SELLER: packaging was NOT appropriate for item; it was a flimsy, plastic envelope, with no stiff material to prevent creases. The book came with two deep creases that involved the *entire* item: one is a 1" triangle lower left side (bound edge); the other is a 7" triangle on upper right side (open edge).
  • n***a (3385)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Excellent Seller, Fast Shipping, Great Communications, Packaged Well, Exactly As Described, And A Good Price. PERFECT. I Will Buy From This Seller Again. Thank You. AAAAAAAAAAAAAAAAAAAAAAAAAA++++++++++++++++++++++++++++

Product ratings and reviews

No ratings or reviews yet.
Be the first to write the review.