Conferences related to Computational complexity

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


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 Multimedia and Expo (ICME)

Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.

  • 2019 IEEE International Conference on Multimedia and Expo (ICME)

    speech, audio, image, video, text and new sensor signal processingsignal processing for media integration3D imaging, visualization and animationvirtual reality and augmented realitymulti-modal multimedia computing systems and human-machine interactionmultimedia communications and networkingmedia content analysis and searchmultimedia quality assessmentmultimedia security and content protectionmultimedia applications and servicesmultimedia standards and related issues

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to: – Speech, audio, image, video, text and new sensor signal processing – Signal processing for media integration – 3D visualization and animation – 3D imaging and 3DTV – Virtual reality and augmented reality – Multi-modal multimedia computing systems and human-machine interaction – Multimedia communications and networking – Media content analysis – Multimedia quality assessment – Multimedia security and content protection – Multimedia databases and digital libraries – Multimedia applications and services – Multimedia standards and related issues

  • 2016 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to:- Speech, audio, image, video, text and new sensor signal processing- Signal processing for media integration- 3D visualization and animation- 3D imaging and 3DTV- Virtual reality and augmented reality- Multi-modal multimedia computing systems and human-machine interaction- Multimedia communications and networking- Media content analysis- Multimedia quality assessment- Multimedia security and content protection- Multimedia databases and digital libraries- Multimedia applications and services- Multimedia standards and related issues

  • 2015 IEEE International Conference on Multimedia and Expo (ICME)

    With around 1000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2014 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications. In 2014, an Exposition of multimedia products, prototypes and animations will be held in conjunction with the conference.Topics of interest include, but are not limited to:

  • 2013 IEEE International Conference on Multimedia and Expo (ICME)

    To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2012 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE Societies. It exchanges the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2011 IEEE International Conference on Multimedia and Expo (ICME)

    Speech, audio, image, video, text processing Signal processing for media integration 3D visualization, animation and virtual reality Multi-modal multimedia computing systems and human-machine interaction Multimedia communications and networking Multimedia security and privacy Multimedia databases and digital libraries Multimedia applications and services Media content analysis and search Hardware and software for multimedia systems Multimedia standards and related issues Multimedia qu

  • 2010 IEEE International Conference on Multimedia and Expo (ICME)

    A flagship multimedia conference sponsored by four IEEE societies, ICME serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2009 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2008 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2007 IEEE International Conference on Multimedia and Expo (ICME)

  • 2006 IEEE International Conference on Multimedia and Expo (ICME)

  • 2005 IEEE International Conference on Multimedia and Expo (ICME)

  • 2004 IEEE International Conference on Multimedia and Expo (ICME)

  • 2003 IEEE International Conference on Multimedia and Expo (ICME)

  • 2002 IEEE International Conference on Multimedia and Expo (ICME)

  • 2001 IEEE International Conference on Multimedia and Expo (ICME)

  • 2000 IEEE International Conference on Multimedia and Expo (ICME)


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Periodicals related to Computational complexity

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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.


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 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 ...


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Most published Xplore authors for Computational complexity

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Xplore Articles related to Computational complexity

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Simple technique to reduce computational complexity of lifting scheme

International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002

None


Filter Bank Techniques for Multi‐Carrier Cognitive Radio Systems

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation, None

This chapter contains sections titled:IntroductionBasic Features of Filter Banks‐Based Multi‐Carrier TechniquesAdaptive Threshold Enhanced Filter Bank for Spectrum Detection in IEEE 802.22Transform Decomposition for Spectrum Interleaving in Multi‐Carrier Cognitive Radio SystemsRemaining Problems in Filter Banks‐Based Multi‐Carrier SystemsSummary and ConclusionReferences


Nonlinear formant-pitch prediction using Recurrent Neural Networks

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

In this study, a parallel structure is proposed for the nonlinear formant and pitch prediction of speech signals using Recurrent Neural Networks (RNN) The well known Real Time Recurrent Learning (RTRL) algorithm is used as the learning algorithm. Its performance is evaluated in terms of the mean-square error and sensitivity to pitch errors through extensive computer simulations and compared to ...


Session: block coding

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: soft binary block decoders; algebraic decoding and sampling; soft error trapping decoding; Kerdock codes; and zero- neighbours suboptimal soft decision decoding.<<ETX>>


A fast algorithm for morphological erosion and dilation

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

This paper describes a new algorithm for performing erosion and dilation which is suitable for flat line-segment structuring functions, and which has a computational complexity that is independent of the structuring function size. Unlike other proposed algorithms, the computation time required by this method is directly proportional to the number of extrema within the signal being processed. This makes it ...


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Educational Resources on Computational complexity

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IEEE-USA E-Books

  • Simple technique to reduce computational complexity of lifting scheme

    None

  • Filter Bank Techniques for Multi‐Carrier Cognitive Radio Systems

    This chapter contains sections titled:IntroductionBasic Features of Filter Banks‐Based Multi‐Carrier TechniquesAdaptive Threshold Enhanced Filter Bank for Spectrum Detection in IEEE 802.22Transform Decomposition for Spectrum Interleaving in Multi‐Carrier Cognitive Radio SystemsRemaining Problems in Filter Banks‐Based Multi‐Carrier SystemsSummary and ConclusionReferences

  • Nonlinear formant-pitch prediction using Recurrent Neural Networks

    In this study, a parallel structure is proposed for the nonlinear formant and pitch prediction of speech signals using Recurrent Neural Networks (RNN) The well known Real Time Recurrent Learning (RTRL) algorithm is used as the learning algorithm. Its performance is evaluated in terms of the mean-square error and sensitivity to pitch errors through extensive computer simulations and compared to the combined formant-pitch RNN predictor and to the linear predictor.

  • Session: block coding

    The following topics are dealt with: soft binary block decoders; algebraic decoding and sampling; soft error trapping decoding; Kerdock codes; and zero- neighbours suboptimal soft decision decoding.<<ETX>>

  • A fast algorithm for morphological erosion and dilation

    This paper describes a new algorithm for performing erosion and dilation which is suitable for flat line-segment structuring functions, and which has a computational complexity that is independent of the structuring function size. Unlike other proposed algorithms, the computation time required by this method is directly proportional to the number of extrema within the signal being processed. This makes it particularly suitable for signals and images that have large and slowly varying segments.

  • Fast computation of rank order statistics

    This paper proposes an algorithm for the computation of ID rank order statistics. For a window filter of size n and a rank r, the computation takes place on groups of 2n samples. Two ordered strings of r samples are constructed by straight insertion and their partial results are combined to cover n + 1 consecutive window positions. The filter output is found either directly taking the r-th sample in rank from ordered sequences (2 results) or by selecting it from two ordered sub-strings (n — 1) results. For ranks far apart from the median, the behavior of the algorithm is outstanding. Thus, for max/min the computational complexity, regardless the window size, is less than 3 comparisons/sample. For the second in rank, one gets less than 7 comparisons/sample, etc. When the rank approches the median, the computational complexity increases to O(log2n).

  • Efficient Sphere-Decoding for Soft-Output Multiple-Symbol Differential Detection of DPSK

    The sphere decoder (SD) is a powerful algorithm to reduce the computational complexity for multiple-symbol differential detection (MSDD) of differential phase-shift keying. To further increase the quality of the transmission, soft- output sphere decoding produces reliability information in the form of LLRs which are fed into the channel decoder. In this paper, we compare the basic SD algorithm with two variants, centered metric computation and LLR accumulation, with respect to performance and computational complexity. We show that especially the latter is able to improve the performance significantly and additionally allows a flexible tradeoff between performance and complexity by adjusting the number of accumulated LLRs.

  • Artifact reduction for JPEG-compressed images with VQ and linear estimation

    A new non-iterative algorithm to remove compression artifacts appearing in JPEG encoded images is proposed in this work. Since degradation caused by the transform and the quantization is difficult to describe mathematically, a clustering technique is used to analyze the statistics of the source and noise in the training. Then, coefficients of a linear prediction filter are pre- calculated and stored in a codebook. In the decoding stage, the linear filter with proper coefficients is applied to quantized transform coefficients and to pixels at block boundaries after the inverse DCT. Experimental results show that the proposed method can efficiently reduce coding artifacts with a low computational complexity.

  • Joint channel and DC offset estimation and synchronization with reduced computational complexity for an EDGE receiver

    EDGE (Enhanced Data rates for GSM Evolution) is a set of improvements to the GSM, aiming at providing higher data rate transmission per radio timeslot and increasing spectral efficiency. Such high data rates put new requirements on the receiver design. On the other hand, the receiver design needs to be efficient from a cost, size and power consumption point of view in order to allow high volume production. A receiver architecture that fulfills such mobile terminal requirements is e.g. the direct conversion receiver. Such a receiver, however, suffers from some problems. One of the problems is that the DC offset can not be eliminated completely in the RF part of the receiver and has to be taken care of in the baseband signal processing. Lindoff (2000) proposed to use a least square (LS) algorithm to jointly estimate the channel parameters and the DC offset by a standard correlation algorithm for synchronization. In an environment which generates a high delay spread to the signal, this algorithm can be applied directly only with very high computational complexity, for the LS estimation has to be repeated several times. In order to reduce the complexity we propose to introduce a fine- synchronization step before the LS estimation. This step, usually used for channel estimation and synchronization in the absence of DC offset, can reduce the computational complexity by a factor 5 or 6.

  • Real time scheduling with Neurosched

    Most scheduling problems are NP hard. Therefore, heuristics and approximation algorithms must be used for large problems when timing constraints have to be addressed. Obviously these methods are of interest when they provide near optimal solutions and when computational complexity can be controlled. The paper presents such a method based on Hopfield neural networks. Scheduling problems are solved in an iterative way, by finding a solution through the minimization of an energy function. An interesting property of this approach is its capacity to trade-off quality for computation time. Indeed, the convergence speed of the minimization process can be tuned by adapting several parameters that influence the quality of the results.



Standards related to Computational complexity

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