Conferences related to Wavelet Transform

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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 Transform

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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 Transform

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Xplore Articles related to Wavelet Transform

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ISAR motion compensation using evolutionary adaptive wavelet transform

IEE Proceedings - Radar, Sonar and Navigation, 2003

Many time-frequency analysis techniques have been used for ISAR motion compensation. One of them, the adaptive wavelet transform (AWT), is cross-term free and has high resolution, but its accuracy is limited because it uses a bisection search method and fast Fourier transform (FFT) for parameter extraction. A novel time-frequency (T-F) analysis, called the evolutionary adaptive wavelet transform (EAWT), is used ...


Analysis of SAR images by multidimensional wavelet transform

IEE Proceedings - Radar, Sonar and Navigation, 2003

The description and development are described of a multidimensional continuous wavelet transform for synthetic aperture radar (SAR) image analysis, especially for the analysis of 'dispersive' reflectors located on a ground illuminated by a SAR. The usual imaging process makes the assumption that the reflectors are isotropic (i.e. that they behave the same way regardless of the angle from which they ...


Analytic discrete cosine harmonic wavelet transform(ADCHWT) and its application to signal/image denoising

2010 International Conference on Signal Processing and Communications (SPCOM), 2010

A new simple and efficient analytic wavelet transform based on Discrete Cosine Harmonic Wavelet Transform DCHWT (ADCHWT) has been proposed and is applied for signal and image denoising. The analytic DCHWT has been realized by applying DCHWT to the original signal and its Hilbert transform. The shift invariance and the envelope extraction properties of the ADCHWT have been found to ...


Dual tree complex wavelet transform based speech enhancement

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Dual tree complex wavelet transform (DT-CWT) has the advantages of nearly shift-invariance and directional selectivity (for two or more dimensions) over the classical discrete wavelet transform. These advantages are essential for many signal processing applications (i.e. image fusion, image enhancement, pattern recognition). In his study, a speech enhancement method based on the DT-CWT has been proposed in order to test ...


Power quality disturbance localization using maximal overlap discrete wavelet transform

2015 Annual IEEE India Conference (INDICON), 2015

In recent times, the wavelet-based methodologies have been developed as suitable alternatives for the real-time analysis of power system. In this paper the time-series based maximal overlap discrete wavelet transform (MODWT) technique has been proposed for the detection and the localization of different PQ disturbances. The performance of the MODWT has been compared with the traditional discrete wavelet transform (DWT). ...


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Educational Resources on Wavelet Transform

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IEEE-USA E-Books

  • ISAR motion compensation using evolutionary adaptive wavelet transform

    Many time-frequency analysis techniques have been used for ISAR motion compensation. One of them, the adaptive wavelet transform (AWT), is cross-term free and has high resolution, but its accuracy is limited because it uses a bisection search method and fast Fourier transform (FFT) for parameter extraction. A novel time-frequency (T-F) analysis, called the evolutionary adaptive wavelet transform (EAWT), is used for ISAR motion compensation. The EAWT is more accurate than the conventional AWT. Using artificially created data from three time-frequency centres and simulated MIG-25 ISAR data, this algorithm is compared with the conventional AWT for accuracy. From the constructed ISAR image using AWT and EAWT, it is demonstrated that the EAWT algorithm can obtain a more clear motion-compensated ISAR image than the conventional AWT

  • Analysis of SAR images by multidimensional wavelet transform

    The description and development are described of a multidimensional continuous wavelet transform for synthetic aperture radar (SAR) image analysis, especially for the analysis of 'dispersive' reflectors located on a ground illuminated by a SAR. The usual imaging process makes the assumption that the reflectors are isotropic (i.e. that they behave the same way regardless of the angle from which they are viewed) and white (they have the same properties within the emitted frequency bandwidth). New imaging capacities (offering large bandwidth, low band and large angular excursions of analysis, for example) make these assumptions obsolete. The goal is to present methods based on the multidimensional continuous wavelet transform which highlight these effects for target recognition or identification. Some examples of this analysis are given by processing real data collected in X-band by the RAMSES airborne SAR facilities at ONERA

  • Analytic discrete cosine harmonic wavelet transform(ADCHWT) and its application to signal/image denoising

    A new simple and efficient analytic wavelet transform based on Discrete Cosine Harmonic Wavelet Transform DCHWT (ADCHWT) has been proposed and is applied for signal and image denoising. The analytic DCHWT has been realized by applying DCHWT to the original signal and its Hilbert transform. The shift invariance and the envelope extraction properties of the ADCHWT have been found to be very effective in denoising compared to that of DCHWT.

  • Dual tree complex wavelet transform based speech enhancement

    Dual tree complex wavelet transform (DT-CWT) has the advantages of nearly shift-invariance and directional selectivity (for two or more dimensions) over the classical discrete wavelet transform. These advantages are essential for many signal processing applications (i.e. image fusion, image enhancement, pattern recognition). In his study, a speech enhancement method based on the DT-CWT has been proposed in order to test its performance in speech enhancement. An efficient estimator, multiplicatively modified log-spectral amplitude (MM-LSA) estimator is used for the enhancement of noisy subband wavelet coefficients. The objective and experimental results show the superiority of the proposed method to the wavelet transform based methods well known in the literature.

  • Power quality disturbance localization using maximal overlap discrete wavelet transform

    In recent times, the wavelet-based methodologies have been developed as suitable alternatives for the real-time analysis of power system. In this paper the time-series based maximal overlap discrete wavelet transform (MODWT) technique has been proposed for the detection and the localization of different PQ disturbances. The performance of the MODWT has been compared with the traditional discrete wavelet transform (DWT). Ten different types of PQ disturbances of the voltage signal such as sag, swell, interruption, harmonic, sag with harmonics and swell with harmonics, spike, notch etc. are analyzed with the two different types of wavelet transform (WT). Each signal is decomposed up to fourth level by applying both the DWT and the MODWT. However, the MODWT is appropriate for the real-time detection of PQ disturbances as it has an ability for the free selection of the initial point of the time series. Similarly, MODWT is can apply on signal of any sample size.

  • Novel approach for satellite image resolution and contrast enhancement using wavelet transform and Brightness Preserving Dynamic Histogram Equalization

    A new satellite image resolution and contrast enhancement technique based on DWT (Discrete wavelet transform), Stationary Wavelet Transform (SWT) and BPDHE (Brightness Preserving Dynamic Histogram Equalization) has been proposed. The wavelet transform is used to construct the high resolution image. The BPDHE is used to enhance the contrast of the image. The low resolution low contrast image is decomposed by using Discrete Wavelet Transform and Stationary Wavelet Transform. The subbands are interpolated by Lanczos interpolation. The intermediate process is carried out to produce low contrast high resolution image. The contrast is enhanced by using Brightness Preserving Dynamic Histogram Equalization. The Output of BPDHE is decomposed by Wavelet Transform and the new LL is constructed using Singular Value Decomposition. The subbands are recombined using inverse wavelet transform. The proposed method enhances the resolution and contrast of the low resolution and contrast image. The quantitative metrics are measured to show that the proposed method is superior to the conventional method.

  • Comparison Between Discrete Wavelet Transform and Maximal Overlap Discrete Wavelet Transform as an Analysis tool for H.264/AVC Video

    The aim of this paper is to study discrete wavelet transform and maximal overlap wavelet transform as analysis tools for H.264/AVC video data. This study highlights which of these wavelet transforms retains the complex autocorrelation properties of H.264 video more accurately. This knowledge allows for construction of better video models with more exact video autocorrelation resemblance. The two transform types are applied to H.264 video traces and the recovered data are compared. The results of this research indicated that maximal overlap discrete wavelet transform is superior to discrete wavelet transform.

  • Seismic Time–Frequency Analysis via Empirical Wavelet Transform

    Time-frequency analysis is able to reveal the useful information hidden in the seismic data. The high resolution of the time-frequency representation is of great importance to depict geological structures. In this letter, we propose a novel seismic time-frequency analysis approach using the newly developed empirical wavelet transform (EWT). It is the first time that EWT is applied in analyzing multichannel seismic data for the purpose of seismic exploration. EWT is a fully adaptive signal-analysis approach, which is similar to the empirical mode decomposition but has a consolidated mathematical background. EWT first estimates the frequency components presented in the seismic signal, then computes the boundaries, and extracts oscillatory components based on the boundaries computed. Synthetic, 2-D, and 3-D real seismic data are used to comprehensively demonstrate the effectiveness of the proposed seismic time- frequency analysis approach. Results show that the EWT can provide a much higher resolution than the traditional continuous wavelet transform and offers the potential in precisely highlighting geological and stratigraphic information.

  • Medical image denoising using dual tree complex thresholding wavelet transform

    Image denoising is the process to remove the noise from the image naturally corrupted by the noise. The wavelet method is one among various methods for recovering infinite dimensional objects like curves, densities, images, ... etc. The wavelet techniques are very effective to remove the noise because of their ability to capture the energy of a signal in few energy transform values. The wavelet methods are based on shrinking the wavelet coefficients in the wavelet domain. We propose in this paper, a denoising approach basing on dual tree complex wavelet and shrinkage (where either hard and soft thresholding operators of dual tree complex wavelet transform for the denoising of medical images are used). The results proved that the denoised images using DTCWT (Dual Tree Complex Wavelet Transform) have a better balance between smoothness and accuracy than the DWT and are less redundant than SWT (Stationary Wavelet Transform). We used the SSIM (Structural Similarity Index Measure) along with PSNR (Peak Signal to Noise Ratio) and SSIM Map to assess the quality of denoised images.

  • Removal of Gaussian noise from stationary image using shift invariant wavelet transform

    Discrete wavelet transform (DWT) has gained widespread recognition and popularity in image processing due to its ability of capturing energy of signal in a few energy transform value. As well as it has also ability to underline and represent time-varying spectral properties of many transient and other nonstationary signals. In DWT denoising is done only in detail coefficient, this offer advantage of smoothness and adaption. However DWT has a lack of shift invariance. This shift-variance is a major problem with the use of DWT for transient signal analysis and pattern recognition applications. Denoising of images with the DWT some time also give visual artifacts due to Gibbs phenomena in neighbourhood of discontinuities. In this paper, a shift- invariant analysis scheme is proposed for removing of additive Gaussian noise in stationary image. An investigation has been made on discrete wavelet transform with shift invariant in terms of PSNR and visual performance.



Standards related to Wavelet Transform

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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 Transform

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