Conferences related to Wavelet domain

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF)

Ferroelectric materials and applications


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Periodicals related to Wavelet domain

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


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Most published Xplore authors for Wavelet domain

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Xplore Articles related to Wavelet domain

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Embedded zero-tree coding of images employing soft-thresholding

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

Improvements of embedded zero-tree wavelet (EZW) coding by employment of soft- thresholding in the wavelet domain are reported. By proper adjustment of the thresholds, the attainable PSNR can be slightly improved (around 0.3 dB). Moreover, soft-thresholding can improve the visual appearance of the coded images, especially in the very low data rate case. The quality in the early stages of ...


A Perfect Matching Layer for haar wavelet based Multi-Resolution Time-Domain technique

2008 IEEE Antennas and Propagation Society International Symposium, 2008

In this paper, a new perfect matching layer (PML) boundary condition is developed for a level-one Haar wavelet based multi-resolution time-domain (MRTD). The formation of such a PML is generic and can be further expanded to any level of the Haar wavelet basis functions. The proposed MRTD PML is verified via numerical experiments on a Luneburg lens.


Optical wavelet domain reflectometry

Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis, 1994

Optical wavelet domain reflectometry (OWDR) is proposed for the first time as a novel alternative to optical time domain reflectometry (OTDR) and optical frequency domain reflectometry (OFDR) to measure and characterize an optical fibre. We include a succinct review of system constraints and problems arising in OTDR and OFDR, describe the idea and design of OWDR, and show the considerable ...


Statistical image restoration based on adaptive wavelet models

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001

We propose image restoration algorithms based on adaptive wavelet-domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet-based restoration methods are obtained. The use of a translation- invariant basis further enhances the restoration performance.


The Application of Wavelet-Kalman Hybrid Filter in EMD Edge Problem

Sixth International Conference on Intelligent Systems Design and Applications, 2006

Empirical mode decomposition is one of effective new methods to process signals disturbed by noise, which has been attracted extensively attention and applied successfully in many engineering fields. Usually, cubic spline interpolation operation is used to fit the upper and lower envelopes of given signals in the traditional EMD approach. However, the ill behavior often appears on the edges of ...


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Educational Resources on Wavelet domain

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IEEE.tv Videos

IMS 2011 Microapps - Time Domain Measurements in Waveguide
Spin Dynamics in Inhomogeneously Magnetized Systems - Teruo Ono: IEEE Magnetics Society Distinguished Lecture 2016
2011 IEEE Jack S. Kilby Signal Processing Medal - Ingrid Daubechies
Learning with Kernels for Streams of Structured Data
IEEE 5G World Forum 30 September - 02 October 2019 in Dresden Germany
8-Element, 1-3GHz Direct Space-to-Information Converter - Matthew Bajor - RFIC Showcase 2018
Diab and Frazier: Ethernet in the First Mile
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
Envelope Time-Domain Characterizations to Assess In-Band Linearity Performances of Pre-Matched MASMOS Power Amplifier: RFIC Interactive Forum 2017
NIKSUN World Wide Security & Mobility Conference 2011-B Lyons
IEEE Internet Initiative
A Conversation with…AJung Moon: IEEE TechEthics
Network: Future of 5G - Mikael Höök - B5GS 2019
When Do We Resort to EC in the Communications Industry, and What is Needed in the Future? - IEEE Congress on Evolutionary Computation 2017
2011 IEEE/RSE Wolfson James Clerk Maxwell Award - Marcian E. Hoff
IROS TV 2019- Istituto Italiano di Tecnologia (IIT)- Human Centered Science and Technologies
A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal
Micro-Apps 2013: Class F Power Amplifier Design, Including System-to-Circuit-to-EM Simulation
Autonomous Systems: Managing Risk and Reward - IEEE AI & Ethics Summit 2016
WIRELESS TRANSCEIVER SYSTEM DESIGN FOR MODERN COMMUNICATION STANDARDS

IEEE-USA E-Books

  • Embedded zero-tree coding of images employing soft-thresholding

    Improvements of embedded zero-tree wavelet (EZW) coding by employment of soft- thresholding in the wavelet domain are reported. By proper adjustment of the thresholds, the attainable PSNR can be slightly improved (around 0.3 dB). Moreover, soft-thresholding can improve the visual appearance of the coded images, especially in the very low data rate case. The quality in the early stages of progressive image transmission can be improved by reduction of annoying artifacts resulting from coarse quantization of the wavelet coefficients. Adaptation of the thresholds to the "current" width of the quantization intervals preserves the embedded bit stream property of the coder.

  • A Perfect Matching Layer for haar wavelet based Multi-Resolution Time-Domain technique

    In this paper, a new perfect matching layer (PML) boundary condition is developed for a level-one Haar wavelet based multi-resolution time-domain (MRTD). The formation of such a PML is generic and can be further expanded to any level of the Haar wavelet basis functions. The proposed MRTD PML is verified via numerical experiments on a Luneburg lens.

  • Optical wavelet domain reflectometry

    Optical wavelet domain reflectometry (OWDR) is proposed for the first time as a novel alternative to optical time domain reflectometry (OTDR) and optical frequency domain reflectometry (OFDR) to measure and characterize an optical fibre. We include a succinct review of system constraints and problems arising in OTDR and OFDR, describe the idea and design of OWDR, and show the considerable progress that we have made in dealing with the constraints and overcoming these problems with OWDR.<<ETX>>

  • Statistical image restoration based on adaptive wavelet models

    We propose image restoration algorithms based on adaptive wavelet-domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet-based restoration methods are obtained. The use of a translation- invariant basis further enhances the restoration performance.

  • The Application of Wavelet-Kalman Hybrid Filter in EMD Edge Problem

    Empirical mode decomposition is one of effective new methods to process signals disturbed by noise, which has been attracted extensively attention and applied successfully in many engineering fields. Usually, cubic spline interpolation operation is used to fit the upper and lower envelopes of given signals in the traditional EMD approach. However, the ill behavior often appears on the edges of the signals, which influences the quality of signal processing. Aiming at the above case, by use of the random walk property of a time series composed by the wavelet coefficients of lots of periodic signals, the paper applies the hybrid filter which consists of wavelet transform and Kalman filter to extending two edges of signal by forwards forecasting or backwards smoothing, and create these new upper and lower envelopes to overcome shortcoming arose from foregone methods. Computer simulation validates the effectiveness of the new technique presented in the letter

  • A new wavelet-based method for despeckling SAR images

    In this paper, a wavelet-based despeckling method is proposed for suppressing speckle noise in synthetic aperture radar (SAR) images. A new threshold is proposed to classify the wavelet coefficients into significant and insignificant ones. Local statistic in the wavelet domain is used to further classify the significant coefficients into the edge and non-edge coefficients. The edge coefficients remain unaltered, whereas the non-edge and the insignificant ones are reduced in magnitude. Experiments are carried out on a noise-free image corrupted with simulated speckle noise, and a real SAR image. The results show that the proposed method provides a performance better than that of other methods in terms of the peak signal-to-noise ratio and ability to suppress speckle in the homogeneous areas. In addition, it introduces a bias that is much smaller than that of the other methods as well as preserves edges quite well.

  • Scanned maps processing using wavelet domain hidden Markov models

    This paper seeks to find ways to remove the unwanted information from the scanned GIS maps using wavelet domain hidden Markov models. WHMMs have proven to be a valuable tool for signal denoising, while they preserve the edges, so they can be used to remove the dithering effect that occurs during the printing process of the map. Linework data can be viewed as edges in the scanned map image. And, since WHMMs are well suited to images containing singularities (edges), they provide a good classifier for distinguishing between linework and elevation data (smoother areas in the image).

  • Fuzzy-wavelet-based electric power quality assessment of distribution systems under stationary and nonstationary disturbances

    Summary form only given. Evaluating the electric power quality become very important task due to the widespread use of nonlinear loads, distributed generations, renewable energy sources and the economic impact of poor power quality. In deregulated environment, having different power quality indices (PQIs) with different values has no significance unless they are combined into single value that could represent them. In this paper, a new fuzzy-wavelet packet transform based power quality index is introduced that amalgamated the recommended power quality indices after being redefined in the time-frequency domain using the wavelet packet transform in order to be compatible with nonstationary disturbances. The use of fuzzy systems is required in order to handle the uncertainties that are associated with the electric power system operation. In order to study the effect of wavelet filter length and the choice of the best wavelet basis function, the new fuzzy developed modules along with the reformulated PQIs are used in three case studies considering electric arc furnace load supplied from stationary low distorted voltage, stationary high distorted voltage and nonstationary distorted voltage (voltage dip). The results indicates the sensitivity of the new index to any change in the electric power quality and the comparative study shows that the most suitable wavelet basis to be used with this module is db 10 since it could provide the most accurate result while processing less number of the filter coefficients therefore reducing the computational time and reducing the size of the memory required. The new index could be efficient in deciding the most appropriate PQ mitigation technique, evaluating the influence of distributed resources on the electric power network while providing a fair strategy for billing the consumers especially those generating time varying harmonics.

  • Signal denoising based on non-local similarity and wavelet transform

    A novel signal denoising method combining translation invariant (TI) wavelet transform with non-local signal similarities is developed. Signal blocks with similar structures are assembled together to build up groups with strong correlations, and then the translation invariant wavelet transform is applied on these groups to produce, in an enhanced sparsity manner, the transformed coefficients, these coefficients are hard-thresholded and inverse transformed back into their denoised versions; finally these denoised blocks are aggregated together to get the final estimate of the true signal. Experimental results confirm that the proposed method can achieve certain improvements in denoising performance compared with the traditional translation invariant wavelet methods.

  • A novel second generation wavelet transform algorithm applied in laser radar echo signal denoising

    A novel signal denoising algorithm based on second generation wavelet transform is proposed, which can effectively eliminate the noise in the laser radar echo signal. Simulation results show that the algorithm can improve signal-noise-ratio (SNR) and reduce the noise of the laser radar echo signal, compared with the traditional wavelet denoising algorithm, the algorithm is simple, suitable for real time processing.



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