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"Wavelet Transform Modern Applications" ed. by Srinivasan Ramakrishnan

Posted By: exLib
"Wavelet Transform Modern Applications" ed. by Srinivasan Ramakrishnan

"Wavelet Transform Modern Applications" ed. by Srinivasan Ramakrishnan
ITexLi | 2024 | ISBN: 0854662359 9780854662357 0854662367 9780854662364 0854662375 9780854662371 | 88 pages | PDF | 17 MB

This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques.

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Posted By: AvaxGenius
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders
English | EPUB | 2020 | 353 Pages | ISBN : 3030493946 | 109.8 MB

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means.

Advances in Cardiac Signal Processing (Repost)

Posted By: AvaxGenius
Advances in Cardiac Signal Processing (Repost)

Advances in Cardiac Signal Processing by U. Rajendra Acharya (Visiting Faculty), Jasjit S. Suri, Jos A. E. Spaan (Editor chief MBEC), Shankar M. Krishnan
English | PDF | 2007 | 478 Pages | ISBN : 3540366741 | 18.1 MB

Various disciplines have been bene?ted by the advent of high-performance computing in achieving practical solutions to their problems and the area of health care is no exception to this. Signal processing and data mining tools have been developed to enhance the computational capabilities so as to help clinicians in diagnosis and treatment. The electrocardiogram (ECG) is a representative signal containing inf- mation about the condition of the heart. The shape and size of the P-QRS-T wave and the time intervals between various peaks contains useful infor- tion about the nature of disease a?icting the heart.

"Wavelet Transforms and Their Applications Recent Advances" ed. by Francisco Bulnes

Posted By: exLib
"Wavelet Transforms and Their Applications Recent Advances" ed. by Francisco Bulnes

"Wavelet Transforms and Their Applications Recent Advances" ed. by Francisco Bulnes
ITexLi | 2022 | ISBN: 1803557397 9781803557397 1803557389 9781803557380 1803557400 9781803557403 | 153 pages | PDF | 13 MB

This book delves into an exposition on spectral analysis, restoring, monitoring, and signal processing, as well as essential applications required in waveguides and for the improvement of medical images, proving the wavelet transform to be helpful in resolution analysis in time-frequency, with an emphasis on different methods of the calculus using FFT and DSTFT.

Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes (Repost)

Posted By: AvaxGenius
Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes (Repost)

Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes by Amol D. Rahulkar, Raghunath S. Holambe
English | PDF | 2014 | 95 Pages | ISBN : 3319067664 | 5.1 MB

This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis, and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes.

Essential Wavelets for Statistical Applications and Data Analysis

Posted By: AvaxGenius
Essential Wavelets for Statistical Applications and Data Analysis

Essential Wavelets for Statistical Applications and Data Analysis by R. Todd Ogden
English | PDF | 1997 | 218 Pages | ISBN : 0817638644 | 17.5 MB

I once heard the book by Meyer (1993) described as a "vulgarization" of wavelets. While this is true in one sense of the word, that of making a sub­ ject popular (Meyer's book is one of the early works written with the non­ specialist in mind), the implication seems to be that such an attempt some­ how cheapens or coarsens the subject. I have to disagree that popularity goes hand-in-hand with debasement. is certainly a beautiful theory underlying wavelet analysis, there is While there plenty of beauty left over for the applications of wavelet methods.

The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing

Posted By: AvaxGenius
The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing

The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing by Talbi Mourad
English | EPUB | 2022 | 95 Pages | ISBN : 3030934047 | 11.2 MB

This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more.

"Acoustic Emission Technology for High Power Microwave Radar Tubes" by Narayan Joshi, et al.

Posted By: exLib
"Acoustic Emission Technology for High Power Microwave Radar Tubes"  by Narayan Joshi,  et al.

"Acoustic Emission Technology for High Power Microwave Radar Tubes" by Narayan Joshi, Ayax D. Ramirez, Stephen D. Russell, David Brock
ITExLi | 2019 | ISBN: 1789854563 9781789854565 1789854555 9781789854558 | 121 pages | PDF | 7 MB

This book is intended for all those professionals with interest in developing a basic background in acoustic emission and its use as a non-destructive testing technique. The monitoring of high-power microwave radar tubes is an example of the use of such techniques.

"Wavelet Theory" ed. by Somayeh Mohammady

Posted By: exLib
"Wavelet Theory" ed. by Somayeh Mohammady

"Wavelet Theory" ed. by Somayeh Mohammady
ITexLi | 2021 | ISBN: 1838819487 9781838819484 1838819479 9781838819477 183881955X 9781838819552 | 365 pages | PDF | 29 MB

This book looks at some of the most creative and popular applications of wavelets including biomedical signal processing, image processing, communication signal processing, Internet of Things (IoT), acoustical signal processing, financial market data analysis, energy and power management, and COVID-19 pandemic measurements and calculations.

Wavelets in Numerical Simulation: Problem Adapted Construction and Applications

Posted By: AvaxGenius
Wavelets in Numerical Simulation: Problem Adapted Construction and Applications

Wavelets in Numerical Simulation: Problem Adapted Construction and Applications by Karsten Urban
English | PDF | 2002 | 194 Pages | ISBN : 3540430555 | 16.4 MB

This research monograph addresses recent developments of wavelet concepts in the context of large scale numerical simulation. It offers a systematic attempt to exploit the sophistication of wavelets as a numerical tool by adapting wavelet bases to the problem at hand. This includes both the construction of wavelets on fairly general domains and the adaptation of wavelet bases to the particular structure of function spaces governing certain variational problems.

Multiscale and Multiresolution Methods: Theory and Applications

Posted By: AvaxGenius
Multiscale and Multiresolution Methods: Theory and Applications

Multiscale and Multiresolution Methods: Theory and Applications by Timothy J. Barth
English | PDF | 2002 | 396 Pages | ISBN : 3540424202 | 53.8 MB

Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally very expensive unless the multiscale nature of these problems is exploited in a fundamental way. Some diverse examples of practical interest include the computation of fluid turbulence, structural analysis of composite materials, terabyte data mining, image processing, and a multitude of others.

"Fourier Transforms: Century of Digitalization and Increasing Expectations" ed. by Goran Nikolic, Dragana Marković-Nikolić

Posted By: exLib
"Fourier Transforms: Century of Digitalization and Increasing Expectations" ed. by Goran Nikolic,  Dragana Marković-Nikolić

"Fourier Transforms: Century of Digitalization and Increasing Expectations" ed. by Goran Nikolic, Dragana Marković-Nikolić
ITExLi | 2019 | ISBN: 1789842042 9781789842043 1789842034 9781789842036 1789853400 9781789853407 | 140 pages | PDF | 18 MB

This book provides a thorough review of some methods that have an increasing impact on humanity today and that can solve different types of problems even in specific industries.

"Wavelet Transform and Complexity" ed. by Dumitru Baleanu

Posted By: exLib
"Wavelet Transform and Complexity" ed. by Dumitru Baleanu

"Wavelet Transform and Complexity" ed. by Dumitru Baleanu
ITExLi | 2019 | ISBN: 1839626593 9781839626593 1839626585 9781839626586 1839626607 9781839626609 | 107 pages | PDF | 14 MB

This volume presents high-level content on the fascinating field of wavelet transform and its applications in real-world phenomena. The book is designed for students, postdocs, and researchers interested in studying the wavelet method and its applications.