Conferences related to Fractals

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2012 11th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2012)

The NEUREL conferences have been organized as a biennial events to allow scientists, experts, and engineers working in diverse areas to report their recent research in the field of neural networks and fuzzy systems, and to contribute to their applications, mainly, but not only, in electrical engineering.

  • 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2010)

    The NEUREL conferences have been organized as a biennial events to allow scientists, experts, and engineers working in diverse areas to report their recent research in the field of neural networks and fuzzy systems, and to contribute to their applications, mainly, but not only, in electrical engineering

  • 2008 9th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2008)

    The NEUREL conferences have been organized as a biennial events to allow scientists, experts, and engineers working in diverse areas to report their recent research in the field of neural networks and fuzzy systems, and to contribute to their applications, mainly, but not only, in electrical engineering


2012 5th International Workshop on Chaos-Fractals Theories and Applications (IWCFTA)

The 5th IWCFTA aims to provide a high-level international forum for scientists, researchers and engineers to present the state-of-the-art advancements in the studies of chaos-fractal theories and their applications to complex systems, cryptography, information processing, multimedia, communications, biology, economics and finance.


2011 3rd International Conference on Computer Design and Applications (ICCDA 2011)

The aim objective of ICCDA 2011 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Computer Design and Applications.



Periodicals related to Fractals

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Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Microwave Theory and Techniques, IEEE Transactions on

Microwave theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of microwaves.


Potentials, IEEE

This award-winning magazine for technology professionals explores career strategies, the latest research and important technical developments. IEEE Potentials covers theories to practical applications and highlights technology's global impact.




Xplore Articles related to Fractals

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Supporting Heterogeneous Architecture Descriptions in an Extensible Toolset

Matthieu Leclercq; Ali Erdem Ozcan; Vivien Quema; Jean-Bernard Stefani 29th International Conference on Software Engineering (ICSE'07), 2007

Many architecture description languages (ADLs) have been proposed to model, analyze, configure, and deploy complex software systems. To face this diversity, extensible ADLs (or ADL interchange formats) have been proposed. These ADLs provide linguistic support for integrating various architectural aspects within the same description. Nevertheless, they do not support extensibility at the tool level, i.e. they do not provide an ...


Classification of Parkinson's disease patients' gait variability

Leo Ota; Hirotaka Uchitomi; Satoshi Orimo; Yoshihiro Miyake 2012 IEEE/SICE International Symposium on System Integration (SII), 2012

Parkinson's disease (PD) is a neurodegenerative disorder. With progression of PD, movement disorder such as gait disturbance and balance impairment is frequently observed. Hoehn and Yahr scale (HY) is an indicator to evaluate the severity of motor signs of PD. Recently, objective measurement comes to be widely spread. Previous studies pointed out that human walking comes from complex interaction, and ...


Biorthogonality Property of Vector-Valued Multivariate Wavelet Packets

Qingjiang Chen; Zongtian Wei 2008 Fourth International Conference on Natural Computation, 2008

In this paper, we introduce a class of vector-valued wavelet packets of space L2(Rs,Ru), which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued wavelet packets in higher dimensions is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formulas regarding these wavelet ...


Exploring the self similar properties for monitoring of air quality information

Rajrup Ghosh; Dipanjan Ghosh; Sreemoyee Roy; Abhik Mukherjee 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR), 2015

Air quality information has assumed much importance over the years due to the increase in air pollution. One major hindrance in monitoring of air pollutants is the dearth of spatial availability of aerosol concentration measurements due to the cost involved in deployment of sensors. In this respect, self similarity analysis of data can be very useful. This work is based ...


Analysis of Modulated Monofractal Noise

L. Woo; M. Potter; W. Kinsner; K. Ferens 2007 Canadian Conference on Electrical and Computer Engineering, 2007

Motivated by experiments for measuring the robustness of wireless protocols, this paper presents an analysis of the effects of amplitude modulation (AM) on the spectral properties of monofractal noise. In general, the modulated monofractal noise signal becomes multifractal over the spectral tail. However, in circumstances where a spectral band of interest is small compared to the effective spectral tail, then ...


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Educational Resources on Fractals

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eLearning

Supporting Heterogeneous Architecture Descriptions in an Extensible Toolset

Matthieu Leclercq; Ali Erdem Ozcan; Vivien Quema; Jean-Bernard Stefani 29th International Conference on Software Engineering (ICSE'07), 2007

Many architecture description languages (ADLs) have been proposed to model, analyze, configure, and deploy complex software systems. To face this diversity, extensible ADLs (or ADL interchange formats) have been proposed. These ADLs provide linguistic support for integrating various architectural aspects within the same description. Nevertheless, they do not support extensibility at the tool level, i.e. they do not provide an ...


Classification of Parkinson's disease patients' gait variability

Leo Ota; Hirotaka Uchitomi; Satoshi Orimo; Yoshihiro Miyake 2012 IEEE/SICE International Symposium on System Integration (SII), 2012

Parkinson's disease (PD) is a neurodegenerative disorder. With progression of PD, movement disorder such as gait disturbance and balance impairment is frequently observed. Hoehn and Yahr scale (HY) is an indicator to evaluate the severity of motor signs of PD. Recently, objective measurement comes to be widely spread. Previous studies pointed out that human walking comes from complex interaction, and ...


Biorthogonality Property of Vector-Valued Multivariate Wavelet Packets

Qingjiang Chen; Zongtian Wei 2008 Fourth International Conference on Natural Computation, 2008

In this paper, we introduce a class of vector-valued wavelet packets of space L2(Rs,Ru), which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued wavelet packets in higher dimensions is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formulas regarding these wavelet ...


Exploring the self similar properties for monitoring of air quality information

Rajrup Ghosh; Dipanjan Ghosh; Sreemoyee Roy; Abhik Mukherjee 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR), 2015

Air quality information has assumed much importance over the years due to the increase in air pollution. One major hindrance in monitoring of air pollutants is the dearth of spatial availability of aerosol concentration measurements due to the cost involved in deployment of sensors. In this respect, self similarity analysis of data can be very useful. This work is based ...


Analysis of Modulated Monofractal Noise

L. Woo; M. Potter; W. Kinsner; K. Ferens 2007 Canadian Conference on Electrical and Computer Engineering, 2007

Motivated by experiments for measuring the robustness of wireless protocols, this paper presents an analysis of the effects of amplitude modulation (AM) on the spectral properties of monofractal noise. In general, the modulated monofractal noise signal becomes multifractal over the spectral tail. However, in circumstances where a spectral band of interest is small compared to the effective spectral tail, then ...


More eLearning Resources

IEEE.tv Videos

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IEEE-USA E-Books

  • Index

    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

  • Index

    **Describes the use of the Real Frequency Technique for designing and realizing RF/microwave amplifiers and circuits** This book focuses on the authors' Real Frequency Technique (RFT) and its application to a wide variety of multi-stage microwave amplifiers and active filters, and passive equalizers for radar pulse shaping and antenna return loss applications. The first two chapters review the fundamentals of microwave amplifier design and provide a description of the RFT. Each subsequent chapter introduces a new type of amplifier or circuit design, reviews its design problems, and explains how the RFT can be adapted to solve these problems. The authors take a practical approach by summarizing the design steps and giving numerous examples of amplifier realizations and measured responses. * Provides a complete description of the RFT as it is first used to design multistage lumped amplifiers using a progressive optimization of the equalizers, leading to a small umber of parameters to optimize simultaneously * Presents modifications to the RFT to design trans-impedance microwave amplifiers that are used for photodiodes acting as high impedance current sources * Discusses the methods using the RFT to optimize equalizers made of lossy distributed networks * Covers methods and examples for designing standard linear multi-stage power amplifiers and those using arborescent structures * Describes how to use the RFT to design multi?]stage active filters * Shows the flexibility of the RFT to solve a variety of microwave circuit design problems like the problem of passive equalizer design for Radar receivers * Examines a possible method for the synthesis of microwave antennas using the RFT _Microwave Amplifier and Active Circuit Design Using the Real Frequency Technique _is intended for researchers and RF and microwave engineers but is also suitable for advanced graduate students in circuit esign. Dr. Beneat and Dr. Jarry are members of the editorial board of Wiley's _International Journal of RF and Microwave Computer Aided Engineering_. They have published seven books together, including _Advanced Design Techniques and Realizations of Microwave and RF Filters _(Wiley-IEEE 2008), _Design and Realizations of Miniaturized Fractals RF and Microwave Filters_ (Wiley 2009), _Miniaturized Microwave Fractal Filters--M2F2_ (Wiley 2012), &nbsp_place_holder;and _RF and Microwave Electromagnetism_ (Wiley-ISTE 2014).

  • Fractals in Signal Processing

    This part contains sections titled: Introduction Fractals and chaos Modelling real world objects with fractals Conclusion This part contains sections titled: References

  • Editor's Biography

    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

  • Using Fractals in Data Mining

    This chapter contains sections titled: Introduction Intrinsic Dimensionality Applications Related Work Summary This chapter contains sections titled: Acknowledgments References

  • Variations on a Theme

    This chapter contains sections titled: Fractals, From Files to Lines, from Lists to Lists of Lists, Binary Search, Newton's Method, Extended Exercise: Gaussian Elimination

  • Wavelets and Medical Imaging

    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

  • Digital Abstractions: The Intuitive Logic of the Cut

    This chapter contains sections titled: Digital Cut, Digi-strain, Di-fractals, The Image, between Sensation and Imagination

  • Fractal Electrodynamics: Surfaces and Superlattices

    We provide a selected review of _fractal electrodynamics_ by investigating the nature of electromagnetic wave interactions with fractal surfaces and superlattices. Of particular interest are the ways in which these fractal objects imprint their characteristic geometry on scattered waves and the physical basis and explanation for these interactions. We review fractal geometry, sets, and descriptors with an emphasis on the roles of dimension and lacunarity. Since multiscale rough surfaces are often modeled by fractals, we examine here the scattering from simple fractal surfaces as a function of roughness and scattering angle using both the Kirchhoff approximation and the T-matrix approach. We find a simple relation between fractal dimension and variations in scattering cross section for small or moderate roughness. For increasing roughness we observe the role of polarization. Next, we formulate and examine the reflection characteristics of multiscale layered media and investigate the physical explanation for the distinctive and complex reflection characteristics from these superlattices as a function of both frequency and variation in fractal descriptors. Physically motivated models of interference provide a fundamental understanding of the reflection data as contained in _twist plots_. We review recent methods of extracting fractal descriptors from superlattice scattering data using both frequency- domain and time-scale techniques.

  • 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. 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



Standards related to Fractals

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Jobs related to Fractals

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