Conferences related to Estimation error

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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 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 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 Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


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Periodicals related to Estimation error

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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 ...


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.


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-- ...


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Most published Xplore authors for Estimation error

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Xplore Articles related to Estimation error

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A Comparison of Differentially Coherent and Coherent Multiuser Detection with Imperfect Phase Estimates in a Rayleigh Fading Channel

Proceedings. IEEE International Symposium on Information Theory, 1993

None


Power control for the additive white Gaussian noise channel under channel estimation errors

Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), 2001

We investigate the time-varying additive white Gaussian noise channel with imperfect side-information. In practical systems, the channel gain may be estimated from a probing signal and estimation errors cannot be avoided. The goal of this paper is to determine a power allocation that a priori incorporates statistical knowledge of the estimation error. This is in contrast to prior work which ...


The estimation of the model order in exponential families

IEEE Transactions on Information Theory, 1989

Estimators are sought that achieve high exponential rate of decrease in the underestimation probability while keeping the overestimation probability exponent at a certain prescribed level. It is assumed that a given integer is known to upper-bound the true order. Some examples are given of possible applications of the proposed method in specific order estimation and hypothesis testing problems.<<ETX>>


A fast algorithm for reduced complexity sequence estimation achieving the optimum error exponent

IEEE Communications Letters, 1999

A reduced complexity sequence estimator is presented which discards certain trellis paths based on their path metric and the minimum Euclidean distance in the trellis. An upper bound for the average number of retained paths is derived and the receiver is shown to achieve the optimum error exponent of the maximum likelihood sequence estimator. A fast implementation is proposed and ...


A large-deviation analysis for the maximum likelihood learning of tree structures

2009 IEEE International Symposium on Information Theory, 2009

The problem of maximum-likelihood learning of the structure of an unknown discrete distribution from samples is considered when the distribution is Markov on a tree. Large-deviation analysis of the error in estimation of the set of edges of the tree is performed. Necessary and sufficient conditions are provided to ensure that this error probability decays exponentially. These conditions are based ...


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Educational Resources on Estimation error

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IEEE.tv Videos

An Energy-Efficient Mixed-Signal Neuron for Inherently Error Resilient Neuromorphic Systems - IEEE Rebooting Computing 2017
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
Mario Milicevic - IEEE Theodore W. Hissey Outstanding Young Professional Award, 2019 IEEE Honors Ceremony
Robust Qubit Manipulation with Integrated Circuits: Optical Computing - Pérola Milman at INC 2019
Signal Processing on Manifolds
IEEE Medal of Honor Recipient (2007): Thomas Kailath
Quantum Computation - ASC-2014 Plenary series - 4 of 13 - Tuesday 2014/8/12
The Prospects for Scalable Quantum Computing with Superconducting Circuits - Applied Superconductivity Conference 2018
Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science
Demonstrating Scalable Benchmarking for Quantum Computing - Timothy Proctor - ICRC San Mateo, 2019
Some Recent Work in Computational Intelligence for Software Engineering
Hybrid Computing for Near-term Quantum Computing Systems - Alex McCaskey - ICRC 2018
Micro-Apps 2013: Frequency Planning Synthesis for Wireless Systems Design
IROS TV 2019- How to Build a Robot: Vision Based Estimation of Driving Energy for Planetary Rovers
A Wideband SiGe BiCMOS Transceiver Chip-Set for High-Performance Microwave Links in the 5.643.5GHz Range: RFIC Industry Showcase 2017
Network Analysis: RF Boot Camp
IROS TV 2019- Macau- Episode 2- Robots Connecting People
2015 IEEE Honors: IEEE Jack S. Kilby Signal Processing Medal - Harry L. Van Trees
An Analysis of Phase Noise Requirements for Ultra-Low-Power FSK Radios: RFIC Interactive Forum 2017
Fusing Simultaneously Acquired EEG and fMRI to Infer Spatiotemporal Dynamics of Cognition in the Human Brain - IEEE Brain Workshop

IEEE-USA E-Books

  • A Comparison of Differentially Coherent and Coherent Multiuser Detection with Imperfect Phase Estimates in a Rayleigh Fading Channel

    None

  • Power control for the additive white Gaussian noise channel under channel estimation errors

    We investigate the time-varying additive white Gaussian noise channel with imperfect side-information. In practical systems, the channel gain may be estimated from a probing signal and estimation errors cannot be avoided. The goal of this paper is to determine a power allocation that a priori incorporates statistical knowledge of the estimation error. This is in contrast to prior work which calculates the effect of the estimation error a posteriori.

  • The estimation of the model order in exponential families

    Estimators are sought that achieve high exponential rate of decrease in the underestimation probability while keeping the overestimation probability exponent at a certain prescribed level. It is assumed that a given integer is known to upper-bound the true order. Some examples are given of possible applications of the proposed method in specific order estimation and hypothesis testing problems.<<ETX>>

  • A fast algorithm for reduced complexity sequence estimation achieving the optimum error exponent

    A reduced complexity sequence estimator is presented which discards certain trellis paths based on their path metric and the minimum Euclidean distance in the trellis. An upper bound for the average number of retained paths is derived and the receiver is shown to achieve the optimum error exponent of the maximum likelihood sequence estimator. A fast implementation is proposed and simulation results are presented.

  • A large-deviation analysis for the maximum likelihood learning of tree structures

    The problem of maximum-likelihood learning of the structure of an unknown discrete distribution from samples is considered when the distribution is Markov on a tree. Large-deviation analysis of the error in estimation of the set of edges of the tree is performed. Necessary and sufficient conditions are provided to ensure that this error probability decays exponentially. These conditions are based on the mutual information between each pair of variables being distinct from that of other pairs. The rate of error decay, or error exponent, is derived using the large-deviation principle. The error exponent is approximated using Euclidean information theory and is given by a ratio, to be interpreted as the signal-to-noise ratio (SNR) for learning. Numerical experiments show the SNR approximation is accurate.

  • A new metric for space-time block codes with imperfect channel estimates

    In this paper, a new metric for the decision rule of the space-time block (STB) codes having imperfect estimate of the channel fading parameters is derived. Estimation errors of these fading parameters have high impact on the performance of the STB code as the decision rule is dependent on these fading parameters. By including the variance of the channel estimation error in the decoder metric derivation of the STB codes, we derive an exact probability distribution function (pdf) of the received signals conditioned on the estimated channel parameters and transmitted symbol sequences. A modified decision rule is easily found from this and compared with the state-of-the-art scheme proposed by Tarokh. Performance comparison shows that significant improvement is achieved in terms of error rate and system complexity, especially for quadrature amplitude modulation (QAM). The derived decision rule converges to the ideal case for no estimation error and to Tarokh's decision rule for high signal-to-noise ratio (SNR).

  • A recursive measurement error estimation identification method

    None

  • A dual-layer estimator architecture for long-term localization

    In this paper, we present a localization algorithm for estimating the 3D position and orientation (pose) of a moving vehicle based on visual and inertial measurements. The main advantage of the proposed method is that it provides precise pose estimates at low computational cost. This is achieved by introducing a two-layer estimation architecture that processes measurements based on their information content. Inertial measurements and feature tracks between consecutive images are processed locally in the first layer (multi- state-constraint Kalman filter) providing estimates for the motion of the vehicle at a high rate. The second layer comprises a bundle adjustment iterative estimator that operates intermittently so as to (i) reduce the effect of the linearization errors, and (ii) update the state estimates every time an area is re-visited and features are re-detected (loop closure). Through this process reliable state estimates are available continuously, while the estimation errors remain bounded during long-term operation. The performance of the developed system is demonstrated in large-scale experiments, involving a vehicle localizing within an urban area.

  • Analysis of the LS estimation error for a MIMO system on a Rician fading channel

    Coherent detection techniques require the channel information for the symbol detection and such techniques are reported to have better performance than the non coherent ones. Method of Least Squares (LS) is a popular technique for performing channel estimation. The LS Estimation method requires the channel to be constant through out the estimation period. In reality, the wireless channel is time varying and we will always get an estimation error when we estimate the channel with block techniques like the LS Estimation. Moreover, the channel is affected by noise and this will also add some error in estimation. MIMO system, which offers gain in capacity, is an area of recent interest. Analysis of LS estimation error for SISO Rayleigh channel is available in literature. Approximate analytical expressions for the variance of the error for a Rician fading channel for a MIMO system is presented here. The validity of the expression has been checked through computer simulation.

  • Accuracy boundary in heart rate variability analysis from solid state ambulatory recordings

    Solid-state (SS) Holter recorders, being free from electromechanical noise sources, are expected to allow accurate estimates of heart rate variability (HRV) parameters. To verify this expectation, the authors evaluated four commercial SS systems: HP 43420B (HP), Marquette SEER (MRQ), Oxford 6000FD2 (OXF), and Reynolds ERAM (REY). Computer generated electrocardiogram (ECG) sequences having a different degree of RR variability were fed into each recorder and a set of time and frequency domain HRV parameters were estimated on annotated RR lists created by their respective processing units. Descriptive statistics of the estimation error of all parameters were computed for each system. The data show that for HP, MRQ, and OXF the accuracy of HRV measurements is essentially bounded by the error caused by the sampling frequency of the ECG signal. The REY system shows lower accuracy indicating that some extra noise sources affect RR measurements.<<ETX>>



Standards related to Estimation error

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IEEE Recommended Practice on Software Reliability

Software reliability (SR) models have been evaluated and ranked for their applicability to various situations. Many improvements have been made in SR modeling and prediction since 1992. This revised recommended practice reflects those advances in SR since 1992, including modeling and prediction for distributed and network systems. Situation specific usage guidance was refined and updated. The methodologies and tools included ...



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