Compressed sensing

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Compressed sensing, also known as compressive sensing, compressive sampling and sparse sampling, is a technique for finding sparse solutions to underdetermined linear systems. (Wikipedia.org)






Conferences related to Compressed sensing

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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 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


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 Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Radar Conference (RADAR)

Everything to do with radar hardware, techniques, processing and systems.

  • 2019 International Radar Conference (RADAR)

    RADAR2019 is in the frame of the international relations set up between the IET, the IEEE, the CIE, the IEAust and the SEE. The conference will focus on new research and developments in the fields: Radar Systems (ground based, airborne, spaceborne), Radar Environment and Phenomenology, Electromagnetic Modeling Radar Component Technologies, Remote Sensing from Airborne or Spaceborne Systems, SAR & ISAR Imagery Waveform design, beamforming and signal processing Emerging, Radar Applications, Smart Visualization and Information processing, System Modeling, Simulation and Validation, Radar Management Techniques Automatic Classification. The conference will take place at Toulon Neptune Palais. Located on the French Riviera, Toulon is an important centre for naval construction and aeronautical equipment,hosting the major naval centre on France's Mediterranean coast, also home of the French Navy aircraft carrier Charles De Gaulle.

  • 2018 International Conference on Radar (RADAR)

    All aspects of radar systems for civil and defence applications.

  • 2017 International Radar Conference (Radar)

    radar environment and phenomenology, radar systems, remote sensing from airborne or spaceborne systems, waveform design, beamforming and signal processing, emerging technologies, advanced sub-systems technologies, computer modelling, simulation and validation, radar management techniques

  • 2016 CIE International Conference on Radar (RADAR)

    The 2016 CIE International Conference on Radar (Radar 2016) will be held in October 10-13 in Guangzhou, China. Radar 2016 is one of the international radar conference series which is held separately in USA, China, UK, Australia and France. It is the 7th International Radar Conference held in China. The conference topics of Radar 2016 will cover all aspects of radar system for civil or defense application.The professional theme of Radar 2016 is “Innovative thinking into the future”. It is our pleasure and honor to invite you to attend Radar 2016 conference. All accepted papers will be published in the conference proceedings We hope to meet you in Guangzhou, China.

  • 2014 International Radar Conference (Radar)

    Radar 2014 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2013 International Conference on Radar

    Radar 2013 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2012 International Radar Conference (Radar)

    Radar Environment/Phenomenology, Radar Systems, Remote Sensing from Airborne/Spaceborne Systems, Waveform Design, Beamforming/Signal Processing, Emerging Applications, Advanced Sub-Systems, Computer Modelling, Simulation/Validation.

  • 2011 IEEE CIE International Conference on Radar (Radar)

    This series of successfully organized international conference on radar shows the very fruitful cooperation between IEEE AESS, IET/UK, SEE/France, EA/Australia CIE/China, and the academy societies of other countries , such as Germany, Russia, Japan, Korea and Poland. Radar 2011 is a forum of radar engineers and scientists from all over the world. The conference topics of Radar 2011 will cover all aspects of radar system for civil and defense applications.

  • 2009 International Radar Conference Radar "Surveillance for a Safer World" (RADAR 2009)

    The conference will focus on new research and developments in the field of radar techniques for both military and civil applications. Topics to be covered at Radar 2009 include: Radar Environment and Phenomenology Radar Systems Remote Sensing from Airborne or Spaceborne Systems Waveform Design, Beamforming and Signal Processing Emerging Radar Applications Emerging Technologies Advanced Sub-Systems Technologies Computer Modeling, Simulation and V

  • 2008 International Conference on Radar (Radar 2008)

    All aspects of radar systems for civil, security and defence applications. Themes include: Radar in the marine environment, Radar systems, Multistatic and netted radars, Radar subsystems, Radar techniques, processing and displays, Modelling and simulation of radar environments, Electronic attack, Electronic protection, Test and Evaluation

  • 2003 IEEE International Radar Conference


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Periodicals related to Compressed sensing

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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.


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.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Compressed sensing

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Xplore Articles related to Compressed sensing

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Low Coherence Sensing Matrices Based on Best Spherical Codes

SCC 2013; 9th International ITG Conference on Systems, Communication and Coding, 2013

A method for constructing low coherence sensing matrices based on best spherical codes is proposed. Such matrices are applied in Compressed Sensing (CS) to obtain measurements of a sparse vector. With the means of CS, it is possible to reconstruct the sparse vector from a small number of measurements. Several properties have been considered in order to determine the CS- ...


Corrections to “Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing” [Jan 12 278-301]

IEEE Transactions on Information Theory, 2013

There are a few corrections for the above titled paper (IEEE Trans. Inf. Theory, vol. 58, no. 1, pp. 278-301, Jan. 2012). They are presented here.


ISAR imaging using filtered compressive sensing

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

Many methods have been developed over the last several decades to provide spatial imaging from backscattered ISAR data, including range-Doppler processing, subspace techniques, and more recently, compressive sensing. Range-Doppler processing generally has a lower resolution than subspace and compressive sensing techniques. Subspace techniques provide a high resolution image and perform well in the presence of noise, but require a sufficiently ...


Development of Modified SL0 Algorithm for Modern Wireless Communication System

2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), 2016

In modern communication system, for compressive sensing, signal reconstruction involves searching a sparse solution. Till now several approaches to same problem have been measured in existing reconstruction algorithms. They provide a compromise between restoration capabilities and required computational time. In an effort to push the limits for this compromise, we consider a smoothed l0 norm (SL0) algorithm in a noiseless ...


Alphabet CS for inverse scattering

2016 URSI International Symposium on Electromagnetic Theory (EMTS), 2016

An Alphabet Compressive Sensing (CS) approach is proposed in this paper for the retrieval of arbitrarily-shaped targets when no a-priori information on the class of scatterers at hand is available. The approach is based on the combination of (i) a fast CS retrieval methodology that is employed to invert the field data assuming several different candidate expansion bases (i.e., the ...


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Educational Resources on Compressed sensing

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IEEE-USA E-Books

  • Low Coherence Sensing Matrices Based on Best Spherical Codes

    A method for constructing low coherence sensing matrices based on best spherical codes is proposed. Such matrices are applied in Compressed Sensing (CS) to obtain measurements of a sparse vector. With the means of CS, it is possible to reconstruct the sparse vector from a small number of measurements. Several properties have been considered in order to determine the CS- suitability of matrices, e.g. the restricted isometry property or the coherence. By the proposed construction method, the coherence of the sensing matrix is optimized. Numerical simulation results demonstrating the p

  • Corrections to “Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing” [Jan 12 278-301]

    There are a few corrections for the above titled paper (IEEE Trans. Inf. Theory, vol. 58, no. 1, pp. 278-301, Jan. 2012). They are presented here.

  • ISAR imaging using filtered compressive sensing

    Many methods have been developed over the last several decades to provide spatial imaging from backscattered ISAR data, including range-Doppler processing, subspace techniques, and more recently, compressive sensing. Range-Doppler processing generally has a lower resolution than subspace and compressive sensing techniques. Subspace techniques provide a high resolution image and perform well in the presence of noise, but require a sufficiently high measurement bandwidth. In addition, in the presence of significant noise, subspace dimensionality can be difficult to determine. Compressive sensing can provide a very high resolution image under ideal circumstances but generally performs poorly in the presence of noise. This paper proposes a filtered compressive sensing method that improves compressive sensing ISAR imaging over direct methods.

  • Development of Modified SL0 Algorithm for Modern Wireless Communication System

    In modern communication system, for compressive sensing, signal reconstruction involves searching a sparse solution. Till now several approaches to same problem have been measured in existing reconstruction algorithms. They provide a compromise between restoration capabilities and required computational time. In an effort to push the limits for this compromise, we consider a smoothed l0 norm (SL0) algorithm in a noiseless setup. In this paper, we proposed modified version of SL0 algorithm for modern wireless communication system. We argue that using a set of meticulously chosen parameters in our proposed modified SL0 algorithm may result in considerably good restoration capabilities in terms of phase transition while required less computational time as existing SL0 algorithms. A large set of simulations further support this claim. Simulation results show that, comparing with SL0 algorithm, the proposed method can exploit the sparse property with good performance.

  • Alphabet CS for inverse scattering

    An Alphabet Compressive Sensing (CS) approach is proposed in this paper for the retrieval of arbitrarily-shaped targets when no a-priori information on the class of scatterers at hand is available. The approach is based on the combination of (i) a fast CS retrieval methodology that is employed to invert the field data assuming several different candidate expansion bases (i.e., the alphabet), and (ii) a robust and effective algorithm for the (non-supervised) selection of the best reconstruction among those obtained with the available alphabet. Such a strategy allows to minimize the a-priori information necessary to obtain sparse representations of the unknown targets A preliminary numerical experiment is reported to validate the proposed methodology.

  • On estimating the loss of signal-to-noise ratio in compressive sensing based systems

    The up-to-date researches focused on compressive sensing (CS) have indicated that a CS-based system could be very sensitive to signal noise which contaminates the input signal prior to measurement. In this paper, it is demonstrated that the SNR loss of the recovered signal can be estimated by the subsampling rate. The conditions based on which the proposed estimator is applied are theoretical analyzed and numerically verified.

  • Displaced phase center antenna SAR imaging based on compressed sensing

    The displaced phase center antenna (DPCA) synthetic aperture radar (SAR) has the potential to achieve high azimuth resolution and wide swath. Its pulse repletion frequency (PRF) has to be selected such that SAR platform moves just one half of its total antenna length between subsequent radar pulses. If this condition is not satisfied, there will be nonuniform sampling in azimuth and azimuth ambiguities will appear when traditional imaging algorithms based on matched filter are used. We propose an innovative imaging algorithm based on compressed sensing (CS) which can reconstruct the scene well even though this rigid condition is not satisfied.

  • Use of Compressed Sensing in analysis of electric field integral equation by the Method of Moments

    By introducing of Compressed Sensing (CS), the computational efficiency of Method of Moments (MoM) can be improved greatly but without significant loss of accuracy. The impact of the construction of underdetermined equation on the possibility of getting accurate recovery solution is analyzed.

  • A compressed sensing based method for SAR GMTI

    This paper proposes a synthetic aperture radar (SAR) imaging method based on compressed sensing for ground moving target identification (GMTI). Since the targets are sparse or compressible in the area of interest, it is sufficient to reconstruct the image by only sampling a small number of receiving data randomly. Then, the moving targets can be obtained after the processing of displaced phase center antenna (DPCA) with different channels, which means that the limitations of strict balance between channels for GMTI can be relaxed. The minimum detectable velocity of moving objects can be reduced to a very small degree while the resolutions in both range and cross-range directions are maintained. Simulation results are presented in the paper to demonstrate the validity of the proposed method.

  • Locally Sparsified Compressive Sensing for Improved MR Image Quality

    The fact that medical images have redundant information is exploited by researchers for faster image acquisition. Sample set or number of measurements were reduced in order to achieve rapid imaging. However, due to inadequate sampling, noise artefacts are inevitable in Compressive Sensing (CS) MRI. CS utilizes the transform sparsity of MR images to regenerate images from under- sampled data. Locally sparsified Compressed Sensing is an extension of simple CS. It localises sparsity constraints for sub-regions rather than using a global constraint. This paper, presents a framework to use local CS for improving image quality without increasing sampling rate or without making the acquisition process any slower. This was achieved by exploiting local constraints. Localising image into independent sub-regions allows different sampling rates within image. Energy distribution of MR images is not even and most of noise occurs due to under-sampling in high energy regions. By sampling sub-regions based on energy distribution, noise artefacts can be minimized. Experiments were done using the proposed technique. Results were compared with global CS and summarized in this paper.



Standards related to Compressed sensing

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No standards are currently tagged "Compressed sensing"