Conferences related to Signal representations

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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 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 Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


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.



Periodicals related to Signal representations

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


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-- ...



Most published Xplore authors for Signal representations

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Xplore Articles related to Signal representations

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Remote field eddy current inspection

IEEE Transactions on Magnetics, 1995

The Remote Field Eddy Current (RFEC) technique uses an internal probe to inspect conducting tubes nondestructively. A coaxial solenoidal exciter, energized with low frequency AC, and detector coils near the inside of the pipe wall are separated by about two pipe diameters to obtain through wall transmission and equal sensitivity to defects on the outside or inside of the pipe ...


A wavelet transform frequency classifier for stochastic transient signals

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 1996

The paper presents a wavelet transform based frequency classifier for stochastic bandpass transient signals. Using compactly supported bases of wavelets, continuous nonstationary bandpass processes can be described by reduced dimension discrete time signal representations. We develop an optimization procedure to adapt both the sampling frequency and the discrete time wavelet filters to the continuous classes of signals involved. When compared ...


Signal representation and processing in the mixed time-frequency domain

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1987

This paper is concerned with mixed time-frequency signal processing using Wigner Distribution Function (WDF). This approach is based upon the generation of the mixed time-frequency representation (MTFR) of a signal, processing of that representation in the mixed time-frequency domain, and obtaining a filtered output by an inverse operation or approximation procedure. Various signal processing operations are formulated. Validity condition for ...


Performance and computation ranking of fast unitary transforms in applications

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1982

For several signal processing applications, the usefulness of Fast Unitary Transforms (FUT) is now well recognized [1-7]. For signal representation, filtering and encoding, it is well known that the Karhunen-Loeve (KL) Transform, based on signal statistics, is optimum in various senses, but the KL Transform is slow. Suboptimum FUT's allow a trade-off between performance and speed. In this paper, we ...


Linear and quadratic time-frequency signal representations

IEEE Signal Processing Magazine, 1992

A tutorial review of both linear and quadratic representations is given. The linear representations discussed are the short-time Fourier transform and the wavelet transform. The discussion of quadratic representations concentrates on the Wigner distribution, the ambiguity function, smoothed versions of the Wigner distribution, and various classes of quadratic time-frequency representations. Examples of the application of these representations to typical problems ...



Educational Resources on Signal representations

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IEEE.tv Videos

Martin Vetterli accepts the IEEE Jack S. Kilby Signal Processing Medal - Honors Ceremony 2017
A Survey of Representations for Evolutionary Computation 2
A Survey of Representations for Evolutionary Computation 1
Type-2 Fuzzy Sets and Systems: Some Questions and Answers (edited)
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
IEEE Signal Processing Society Awards - ICASSP 2020
ICASSP 2011 Trends in Machine Learning for Signal Processing
ICASSP 2010 - New Signal Processing Application Areas
Deep Graph Learning: Techniques and Applications - Haifeng Chen - IEEE Sarnoff Symposium, 2019
ICASSP 2011 Trends in Design and Implementation of Signal Processing Systems
Signal Processing and Machine Learning
IMS 2011 Microapps - Mixed-Signal Active Load Pull - The Fast Track to 3G/4G Amplifier Design
Alan S. Willsky - IEEE Jack S. Kilby Signal Processing Medal, 2019 IEEE Honors Ceremony
ICASSP 2011 Trends in Multimedia Signal Processing
2014 Jack S. Kilby Signal Processing Medal
An Energy-Efficient Mixed-Signal Neuron for Inherently Error Resilient Neuromorphic Systems - IEEE Rebooting Computing 2017
Signal Processing on Manifolds
IMS 2012 Microapps - System Simulation Featuring Signal Processing Blocks
The Fundamentals of Compressive Sensing, Part III: Sparse Signal Recovery
2012 IEEE Honors - Jack S. Kilby Signal Processing Medal

IEEE-USA E-Books

  • Remote field eddy current inspection

    The Remote Field Eddy Current (RFEC) technique uses an internal probe to inspect conducting tubes nondestructively. A coaxial solenoidal exciter, energized with low frequency AC, and detector coils near the inside of the pipe wall are separated by about two pipe diameters to obtain through wall transmission and equal sensitivity to defects on the outside or inside of the pipe wall. Calculation methods are outlined and the voltage plane polar plot signal representation for defect measurement is described. Slit defect interactions in ferromagnetic and non-ferromagnetic tubes are discussed. Defect-induced anomalous fields are interpreted in terms of anomalous source eddy current and missing magnetization defect models. The use of computer animations to represent the time variations of high resolution field measurements and calculations is described.

  • A wavelet transform frequency classifier for stochastic transient signals

    The paper presents a wavelet transform based frequency classifier for stochastic bandpass transient signals. Using compactly supported bases of wavelets, continuous nonstationary bandpass processes can be described by reduced dimension discrete time signal representations. We develop an optimization procedure to adapt both the sampling frequency and the discrete time wavelet filters to the continuous classes of signals involved. When compared to the classical Bayesian structures, the proposed receiver strongly reduces the required computational load. The receiver performance is accessed by Monte Carlo simulation, the probabilities of detection for each signal class, and the probability of false alarm, being computed.

  • Signal representation and processing in the mixed time-frequency domain

    This paper is concerned with mixed time-frequency signal processing using Wigner Distribution Function (WDF). This approach is based upon the generation of the mixed time-frequency representation (MTFR) of a signal, processing of that representation in the mixed time-frequency domain, and obtaining a filtered output by an inverse operation or approximation procedure. Various signal processing operations are formulated. Validity condition for the resulting MTFR are investigated. An inverse operation can be applied as an exact procedure if the output MTFR is a valid WDF, it can be regarded as an approximation procedure if the resulting MTFR is not admissible. Other approximations can be formulated. One scheme depends on the projection of the MTFR onto the space of valid WDF. The other scheme depends on the modification of the filtering function in a minimal way such that the resulting MTFR is valid.

  • Performance and computation ranking of fast unitary transforms in applications

    For several signal processing applications, the usefulness of Fast Unitary Transforms (FUT) is now well recognized [1-7]. For signal representation, filtering and encoding, it is well known that the Karhunen-Loeve (KL) Transform, based on signal statistics, is optimum in various senses, but the KL Transform is slow. Suboptimum FUT's allow a trade-off between performance and speed. In this paper, we compare and rank the KL, Fourier, Walsh-Hadamard, Haar, Discrete Cosine, Slant Walsh Hadamard and Slant Haar Transforms by their performance in applications and by the number of elementary operations they require. In encoding and filtering, recursive techniques are widely used and are generally fast. By considering both performance and computations we are able to compare directly recursive and transform algorithms. The comparison brings to light a performance versus computation bound for the two classes of processing techniques.

  • Linear and quadratic time-frequency signal representations

    A tutorial review of both linear and quadratic representations is given. The linear representations discussed are the short-time Fourier transform and the wavelet transform. The discussion of quadratic representations concentrates on the Wigner distribution, the ambiguity function, smoothed versions of the Wigner distribution, and various classes of quadratic time-frequency representations. Examples of the application of these representations to typical problems encountered in time-varying signal processing are provided.<<ETX>>

  • Fractional-Fourier-domain weighted Wigner distribution

    A fractional-Fourier-domain realization of the weighted Wigner distribution (or S-method), producing auto-terms close to the ones in the Wigner distribution itself, but with reduced cross-terms, is presented. The computational cost of this fractional-domain realization is the same as the computational cost of the realizations in the time or the frequency domain, since the short-time Fourier transform of the fractional Fourier transform of a signal corresponds to the short-time Fourier transform of the signal itself, with the window being the fractional Fourier transform of the initial one. The appropriate fractional domain is found from the analysis of the second-order fractional Fourier transform moments. Numerical simulations show a qualitative advantage in the time-frequency representation, when the calculation is done in the optimal fractional domain.

  • Recovery of fine resolution information in multispectral processing

    Multiple-sensor processing is considered, and a unified method for representing multiple-sensor data is developed. When resolution varies between sensors, such a multiple-sensor system can be viewed as samples of a scale- space signal representation. It is demonstrated that if the spatial transfer function of the sensors are Gaussian, then scale-space filtering can be used to recover small-scale (fine-resolution) information through extrapolation in scale. As an example of multiple-sensor processing, multispectral processing of remote sensing, in which images of surface scenes are simultaneously generated at different (center) frequencies, is considered. The fingerprints of extrapolated signals approximate the actual multispectral fingerprints at small scales and can be used when the multispectral fingerprints are not available.<<ETX>>

  • Multiple access based on Gabor transform

    An oversampled discrete-time Gabor (1946) transform (DTGT) has inherent redundancy for signal representation in the joint time-frequency domain. In the proposed multiple access communication system, this redundancy is used to separate different signals. The DTGTs of all users' signals are transmitted in the same time slots and frequency bands. The DTGTs of the signals can be separated if the analysis windows used in their computation satisfy a pseudo- orthogonality condition defined in this paper. A limit on the number of windows that can be pseudo-orthogonal (PO) to each other is derived. Two methods of designing PO windows using pseudo-noise sequences and wavelet filters are demonstrated.

  • Cinematic techniques for speech processing: temporal decomposition and multivariate linear prediction

    Two models, the temporal decomposition and the multivariate linear prediction, of the spectral evolution of speech signals capable of processing some aspects of the speech variability are presented. A series of acoustic-phonetic decoding experiments, characterized by the use of spectral targets of the temporal decomposition techniques and a speaker-dependent mode, gives good results compared to a reference system (i.e., 70% vs. 60% for the first choice). Using the original method developed by Laforia, a series of text- independent speaker recognition experiments, characterized by a long-term multivariate auto-regressive modelization, gives first-rate results (i.e., 98.4% recognition rate for 420 speakers) without using more than one sentence. Taking into account the interpretation of the models, these results show how interesting the cinematic models are for obtaining a reduced variability of the speech signal representation.<<ETX>>

  • Universal coding of function spaces as a model signal compression

    This paper addresses the problem of signal compression, basing on the mathematical model, in which a set of all possible signals is considered as a function space with a metric /spl rho/. The main attention is focused on the minimization of the size of compressed representation, when function characteristics are not known precisely.



Standards related to Signal representations

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(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.