IEEE Organizations related to Covariance Matrices

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Conferences related to Covariance Matrices

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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 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 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


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2007 IEEE Radar Conference

  • 2006 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2004 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2001 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 1999 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1996 IEEE Radar Conference


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.


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Periodicals related to Covariance Matrices

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Most published Xplore authors for Covariance Matrices

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Xplore Articles related to Covariance Matrices

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Direct blind multichannel identification

2000 10th European Signal Processing Conference, 2000

In this paper, different techniques for the estimation of the signal parameters and/or the channel coefficients for single-input/multiple-output systems, arc presented. These methods arc based, cither on the use of a small part of observations or on the minimization of a quadratic form with quadratic constraint. Simulations have been established and these techniques arc compared to the classical approaches.


Sparse-befap: A fast implementation of fast affine projection avoiding explicit regularisation

2000 10th European Signal Processing Conference, 2000

It is well known that régularisation of the covariance matrix is necessary in Affine Projection Algorithm (APA) based adaptive filters. A technique to achieve régularisation is using non-successive equations in the system of equations that is solved in the APA-algorithm, leading to the Sparse-APA algorithm [5] [4]. In this paper, a fast exact frequency domain implementation of Sparse-APA is derived ...


A minimal, givens rotation based FRLS lattice algorithm

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

We propose a new Givens rotation based least-squares lattice algorithm. Based on spherical trigonometry principles, this algorithm turns out to be a normalized version of the fast QRD-based least-squares lattice filter, introduced independently by Ling and Proudler et al. In constrast to those algorithms, the storage requirements of the new algorithm are minimal (in the system theory sense). From this, ...


Past input reconstruction in backward consistent fast least-squares algorithms

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

We present an analytic solution to the past input reconstruction problem, which consists in describing all past input sequences which would give rise to a given set of variables in fast least-squares algorithms, whenever the variables in questionare reachable.


Array self calibration: Identifiability issues

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

Array self calibration consists of identifying array shape distortions and deviations to gain and phase sensor responses, in an unknown source field. Conditions of local identifiability of these parameters are established, and turn out to depend on the type of array and the type of field. The minimal number of sources and sensors is calculated in each case, and the ...


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Educational Resources on Covariance Matrices

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IEEE-USA E-Books

  • Direct blind multichannel identification

    In this paper, different techniques for the estimation of the signal parameters and/or the channel coefficients for single-input/multiple-output systems, arc presented. These methods arc based, cither on the use of a small part of observations or on the minimization of a quadratic form with quadratic constraint. Simulations have been established and these techniques arc compared to the classical approaches.

  • Sparse-befap: A fast implementation of fast affine projection avoiding explicit regularisation

    It is well known that régularisation of the covariance matrix is necessary in Affine Projection Algorithm (APA) based adaptive filters. A technique to achieve régularisation is using non-successive equations in the system of equations that is solved in the APA-algorithm, leading to the Sparse-APA algorithm [5] [4]. In this paper, a fast exact frequency domain implementation of Sparse-APA is derived which does not rely on any of the approximations which are found in the classical fast affine projection algorithms, while only a very small number of extra computations is needed.

  • A minimal, givens rotation based FRLS lattice algorithm

    We propose a new Givens rotation based least-squares lattice algorithm. Based on spherical trigonometry principles, this algorithm turns out to be a normalized version of the fast QRD-based least-squares lattice filter, introduced independently by Ling and Proudler et al. In constrast to those algorithms, the storage requirements of the new algorithm are minimal (in the system theory sense). From this, we show that the new algorithm satisfies the backward consistency property, and hence enjoys stable error propagation.

  • Past input reconstruction in backward consistent fast least-squares algorithms

    We present an analytic solution to the past input reconstruction problem, which consists in describing all past input sequences which would give rise to a given set of variables in fast least-squares algorithms, whenever the variables in questionare reachable.

  • Array self calibration: Identifiability issues

    Array self calibration consists of identifying array shape distortions and deviations to gain and phase sensor responses, in an unknown source field. Conditions of local identifiability of these parameters are established, and turn out to depend on the type of array and the type of field. The minimal number of sources and sensors is calculated in each case, and the nature of the remaining degrees of freedom is interpreted. With an additional knowledge, that can be provided by a manœuvre or by a perfect sensor, it is shown that the latter parameters can be in turn identified.

  • A method for computing the information matrix of stationary Gaussian processes

    This paper proposes a new method for the efficient computation of the Fisher information matrix of zero-mean complex stationary Gaussian processes. Its complexity (measured by the number of floating point operations) is smaller than the fastest previously available procedure. The key idea exploited is that the Fisher information matrix depends only on the sum of the diagonals of the inverse covariance matrix derivative (with respect to the model parameters), rather than on the whole matrix. To obtain the referred sum, a new efficient technique, built upon the Trench algorithm for computing the inverse of a Toeplitz matrix, is presented.

  • Cascaded all-pass sections for LMS adaptive filtering

    The behaviour of the LMS adaptive algorithm is analyzed for a class of adaptive filters that is based on a cascade of identical N-th order all-pass sections. The well-known tapped-delay-line is a special case of this class. We look at the rate of convergence and the steady-state weight fluctuations. It is shown that in the steady state the weight-error correlation matrix satisfies a Lyapounov equation for sufficiently small values of the step-size. Sometimes a priori knowledge of the unknown reference system is available that can be used to select the N parameters of the all-pass section. In these cases the LMS adaptive filter based on a cascade of identical all-pass sections can outperform the LMS adaptive tapped-delay-line.

  • Progress Towards Fixing Dysfunctional Energy System without Ruining the Economy

    Progress Towards Fixing Dysfunctional Energy System without Ruining the Economy

  • Asymptotic normality of sinusoidal frequencies estimated by second-order algorithms for mixed spectra time series

    This paper addresses the asymptotic normal distribution of the sample covariance matrix of mixed spectra time series containing a sum of sinusoids and a linear stationary process. A new central limit theorem is proved for real or complex valued processes whose linear stationary process is possibly noncircular and not necessarily Gaussian. As an application of this result, the asymptotic normal distribution of any sinusoidal frequency estimator of such a time series based on second-order statistics is deduced. The case of the noise whitening is also considered in this general formulation. It is shown, in particular, that under mild assumptions, the asymptotic performance of most covariance-based frequency estimators is independent of the distribution of the noise.

  • Antenna Management

    This chapter contains sections titled:Capacity of MIMO ChannelsMIMO TransmissionMultiuser MIMO]]>



Standards related to Covariance Matrices

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