Conferences related to Wavelet transforms

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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 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.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Wavelet transforms

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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.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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Most published Xplore authors for Wavelet transforms

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Xplore Articles related to Wavelet transforms

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Characterising the discrete wavelet transform of an ECG signal with simple parameters for use in automated diagnosis

Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269), 1998

The spectral distribution of energy varies between normal ECGs and those from patients post infarct or with ventricular hypertrophies. This suggests that discriminating between normal and abnormal conditions may be possible on the basis of differences in the distribution of spectral energy. The authors compare a reduced Discrete Wavelet Transform characterisation of an ECG QRS complex using three different wavelets. ...


Quantum wavelet transform and matrix factorization

International Quantum Electronics Conference, 2005., 2005

None


Two denoising methods by wavelet transform

IEEE Transactions on Signal Processing, 1999

To wavelet-based noise reduction methods are discussed. First, we improve the traditional spatially selective noise filtration technique proposed by Xu et al. (1994). Second, we introduce a new threshold-based denoising algorithm based on undecimated discrete wavelet transform. Simulations and comparisons are given.


Scaling functions robust to translations

IEEE Transactions on Signal Processing, 1998

The discrete wavelet transform (DWT) is popular in a wide variety of applications. Its sparse sampling eliminates redundancy in the representation of signals and leads to efficient processing. However, the DWT lacks translation invariance. This makes it ill suited for many problems where the received signal is the superposition of arbitrarily shifted replicas of a transmitted signal as when multipath ...


Wavelet and wavelet Stieltjes transforms

Proceedings of 32nd IEEE Conference on Decision and Control, 1993

Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced.<<ETX>>


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Educational Resources on Wavelet transforms

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IEEE-USA E-Books

  • Characterising the discrete wavelet transform of an ECG signal with simple parameters for use in automated diagnosis

    The spectral distribution of energy varies between normal ECGs and those from patients post infarct or with ventricular hypertrophies. This suggests that discriminating between normal and abnormal conditions may be possible on the basis of differences in the distribution of spectral energy. The authors compare a reduced Discrete Wavelet Transform characterisation of an ECG QRS complex using three different wavelets. The wavelet transforms are based on dyadic scales and decompose the ECG signals into four detail levels and one approximation level with each decomposition being characterised by a mean and a standard deviation value. The authors' results indicate that, even after reducing the information in each level of decomposition of the wavelet transform to these two simple values, the discriminating power between normal and abnormal cases, calculated using receiver operator curve (ROC) analysis, exceeds 75%. This improves on the results obtained for scalar parameters such as QRS duration, areas and cardiac axis.

  • Quantum wavelet transform and matrix factorization

    None

  • Two denoising methods by wavelet transform

    To wavelet-based noise reduction methods are discussed. First, we improve the traditional spatially selective noise filtration technique proposed by Xu et al. (1994). Second, we introduce a new threshold-based denoising algorithm based on undecimated discrete wavelet transform. Simulations and comparisons are given.

  • Scaling functions robust to translations

    The discrete wavelet transform (DWT) is popular in a wide variety of applications. Its sparse sampling eliminates redundancy in the representation of signals and leads to efficient processing. However, the DWT lacks translation invariance. This makes it ill suited for many problems where the received signal is the superposition of arbitrarily shifted replicas of a transmitted signal as when multipath occurs, for example. The paper develops algorithms for the design of orthogonal and biorthogonal compact support scaling functions that are robust to translations. Our approach is to maintain the critical sampling of the DWT while designing multiresolution representations for which the coefficient energy redistributes itself mostly within each subband and not across the entire time-scale plane. We obtain expedite algorithms by decoupling the optimization from the constraints on the scaling function. Examples illustrate that the designed scaling function significantly improves the robustness of the representation.

  • Wavelet and wavelet Stieltjes transforms

    Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced.<<ETX>>

  • Potentials and limitations of wavelets in signal acquisition and processing

    None

  • Wavelet Analysis on Crack Image of Coal Mining Roof

    Appling an image edge detection algorithm based on the wavelet transform to crack image of roof in coal in the paper. Digital image processing technology was introduced to the research on crack image of roof rock in this paper, which is independent from lithology and mechanical characteristics of certain rocks. Firstly, the crack image would be divided into different frequency band by wavelet transform, and would be filtered by frequency characteristic. At last, the edge extraction of the image completed.

  • Application of wavelet analysis for detection of defects in insulation system

    Detection of defects in insulating system has long been recognized as an important part of quality control for high voltage equipment. In this paper, an acoustic signal analysis method for detection of defects in insulation system based on wavelet transform is introduced. Some applications of wavelet transform in detection of defects in insulating system are given. Compared with the conventional detecting methods, the acoustic signal analysis method based on wavelet transform has advantages such as higher resolution and convenience for practical use.

  • The wavelet decomposition and reconstruction algorithm of finite length signal

    A wavelet algorithm of finite signals associated with Mallat's (1989) wavelet algorithm is proposed. It uses only finite wavelet bases without periodically extending signals, allowing perfect reconstruction of signals.

  • Reversible discrete cosine transform

    In this paper a reversible discrete cosine transform (RDCT) is presented. The N-point reversible transform is firstly presented, then the 8-point RDCT is obtained by substituting the 2 and 4-point reversible transforms for the 2 and 4-point transforms which compose the 8-point discrete cosine transform (DCT), respectively. The integer input signal can be losslessly recovered, although the transform coefficients are integer numbers. If the floor functions are ignored in RDCT, the transform is exactly the same as DCT with determinant=1. RDCT is also normalized so that we can avoid the problem that dynamic range is nonuniform. A simulation on continuous-tone still images shows that the lossless and lossy compression efficiencies of RDCT are comparable to those obtained with reversible wavelet transform.



Standards related to Wavelet transforms

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IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications

The project defines a standard for high-speed (>100 Mbps at the physical layer) communication devices via electric power lines, so-called broadband over power line (BPL) devices. This standard uses transmission frequencies below 100 MHz. It is usable by all classes of BPL devices, including BPL devices used for the first-mile/last-mile connection (<1500 m to the premise) to broadband services as ...



Jobs related to Wavelet transforms

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