Conferences related to Continuous wavelet transforms

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


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 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


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Periodicals related to Continuous wavelet transforms

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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.


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Dielectrics and Electrical Insulation, IEEE Transactions on

Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Continuous wavelet transforms

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Xplore Articles related to Continuous 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 Continuous wavelet transforms

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IEEE.tv Videos

2011 IEEE Jack S. Kilby Signal Processing Medal - Ingrid Daubechies
Robots, Politics, and Ethics: How Autonomous Driving Transforms Our Way of Thinking About Machines
Irina Perfilieva: Fuzzy (F-) Transforms — The Efficient Tool for (even big) Data Preprocessing
Accelerating Discrete Fourier Transforms with Dot-product engine - Miao Hu: 2016 International Conference on Rebooting Computing
Dissecting Design Choices in Continuous-time Delta-Sigma Converters
IMS 2014: Broadband Continuous-mode Power Amplifiers
Robust Qubit Manipulation with Integrated Circuits: Optical Computing - Pérola Milman at INC 2019
Provably-Correct Robot Control with LTLMoP, OMPL and ROS
Ponnuthurai Nagaratnam Suganthan - Differential Evolution
The Fundamentals of Compressive Sensing, Part II: Sensing Matrix Design
IEEE Day Milestone: Volta Awakens in the Modern Age
Real-time Spectrogram Analysis of Continuous Optical Wavefields - José Azaña - Closing Ceremony, IPC 2018
2011 IEEE Awards Corporate Innovation Recognition - imec
Generating Stochastic Bits Using Tunable Quantum Systems - Erik Blair at INC 2019
Smart Manufacturing: Embracing the Digital Revolution - Jane Barr at IEEE WIE Forum USA East 2017
Wish You Were Here: IEEE Women In Engineering ILC 2018
IEEE Sections Congress 2014: Luc Van den Hove, Wearable Medical Technology
Kostas Kontogiannis: IoT Systems Delivery and Deployment Agility - Research Challenges and Issues: WF IoT 2016
Magmites: Wireless Resonant Magnetic Microrobots
Meet Jacquelyn Adams of Jacquelyn Worx

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 Continuous wavelet transforms

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