Conferences related to Higher order statistics

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IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

Applications of power electronics, artificial intelligence, robotics, and nanotechnology in electrification of automotive, military, biomedical, and utility industries.

  • IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

    Industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.

  • IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics

    The conference will be focusing on industrial and manufacturing theory and applications of electronics,power, sustainable development, controls, communications, instrumentation and computational intelligence.

  • IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics

    industrial applications of electronics, control, robotics, signal processing, computational and artificial intelligence, sensors and actuators, instrumentation electronics, computer networks, internet and multimedia technologies.

  • IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics

    IECON is an international conference on industrial applications of electronics, control, robotics, signal processing, computational and artificial intelligence, sensors and actuators, instrumentation electronics, computer networks, internet and multimedia technologies. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science, technology, and fellowship.

  • IECON 2009 - 35th Annual Conference of IEEE Industrial Electronics

    Applications of electronics, instrumentation, control and computational intelligence to industrial and manufacturing systems and process. Major themes include power electronics, drives, sensors, actuators, signal processing, motion control, robotics, mechatronics, factory and building automation, and informatics. Emerging technologies and applications such as renewable energy, electronics reuse, and education.


2012 Australian Communications Theory Workshop (AusCTW)

- Coded modulation - Coding theory and practice - Communication systems - Channel characteristics and modeling - Detection and estimation - OFDM and DMT processing techniques - Utra-wide band communications - DSP for communications - Information theory and statistics - Iterative decoding algorithms - Multiuser detection - Cross-layer PHY-MAC-NET arrangements - Fourth generation cellular systems - Blind signal separation techniques



Periodicals related to Higher order statistics

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Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Signal Processing Letters, IEEE

Rapid dissemination of new results in signal processing world-wide.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.


Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Applications, review, and tutorial papers within the scope of the Systems, Man and Cybernetics Society. Currently, this covers: (1) Integration of the theories of communication, control cybernetics, stochastics, optimization and system structure towards the formulation of a general theory of systems; (2) Development of systems engineering technology including problem definition methods, modeling, and stimulation, methods of systems experimentation, human factors ...




Xplore Articles related to Higher order statistics

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An experimental study: on reducing RBF input dimension by ICA and PCA

Rong-Bo Huang; Lap-Tak Law; Yiu-Ming Cheung Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on, 2002

Experimentally investigates using independent component analysis (ICA) and principle component analysis (PCA) in the reduction of the input dimension of a radial basis function (RBF) network such that the net's complexity is reduced. The results have shown that a RBF network with ICA as an input pre- process has similar generalization ability to the one without pre-processing, but the former's ...


On detection using filter banks and higher order statistics

Sattar, F.; Salomonsson, G. Aerospace and Electronic Systems, IEEE Transactions on, 2000

We suggest a method, based on the use of filter bank and higher order statistics (cumulants), for detection of transient signals. The method first uses a bandpass filter bank, which separates the spectrum of the observed signal into narrow frequency bands. Each subfilter of the filter bank is then followed by a cumulant estimator, and thereby suppressing colored noise. By ...


A new normalized minimum-error entropy algorithm with reduced computational complexity

Bhotto, M.Z.A.; Antoniou, A. Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, 2009

A new normalized minimum-error entropy (NMEE) algorithm is proposed as an alternative to the minimum-error entropy (MEE) and the minimum-error entropy with self-adjusting step size (MEE-SAS) algorithms. The proposed NMEE algorithm requires fewer iterations and less computation to converge and yields lower misadjustment as compared to those of the MEE and the MEE-SAS algorithms.


Utilizing higher order statistics of packet interarrival times for bottleneck detection

Varga, P.; Kun, G. End-to-End Monitoring Techniques and Services, 2005. Workshop on, 2005

This paper introduces a new approach for determining bottleneck link locations in a network. The considered measurement model is passive monitoring of a backbone link. We analyze the properties of packet interarrival time (PIT) distribution functions of network segments and make decisions whether the extracted properties of a link suggest bottleneck behavior or not. The correlation between bottleneck behavior and ...


Frequency-domain identification of multivariable linear systems with noisy input

Tugnait, J.K. Decision and Control, 1995., Proceedings of the 34th IEEE Conference on, 1995

The problem considered is that of identifiability of unknown parameters of multivariable, linear "errors-in-variables" models, i.e., linear systems where measurements of both input and output of the system are noise contaminated. Attention is focused on frequency-domain approaches where the integrated polyspectrum (bispectrum or trispectrum) of the input and the integrated cross-polyspectrum, respectively, of the input-output are exploited. Two new classes ...


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Educational Resources on Higher order statistics

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eLearning

An experimental study: on reducing RBF input dimension by ICA and PCA

Rong-Bo Huang; Lap-Tak Law; Yiu-Ming Cheung Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on, 2002

Experimentally investigates using independent component analysis (ICA) and principle component analysis (PCA) in the reduction of the input dimension of a radial basis function (RBF) network such that the net's complexity is reduced. The results have shown that a RBF network with ICA as an input pre- process has similar generalization ability to the one without pre-processing, but the former's ...


On detection using filter banks and higher order statistics

Sattar, F.; Salomonsson, G. Aerospace and Electronic Systems, IEEE Transactions on, 2000

We suggest a method, based on the use of filter bank and higher order statistics (cumulants), for detection of transient signals. The method first uses a bandpass filter bank, which separates the spectrum of the observed signal into narrow frequency bands. Each subfilter of the filter bank is then followed by a cumulant estimator, and thereby suppressing colored noise. By ...


A new normalized minimum-error entropy algorithm with reduced computational complexity

Bhotto, M.Z.A.; Antoniou, A. Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, 2009

A new normalized minimum-error entropy (NMEE) algorithm is proposed as an alternative to the minimum-error entropy (MEE) and the minimum-error entropy with self-adjusting step size (MEE-SAS) algorithms. The proposed NMEE algorithm requires fewer iterations and less computation to converge and yields lower misadjustment as compared to those of the MEE and the MEE-SAS algorithms.


Utilizing higher order statistics of packet interarrival times for bottleneck detection

Varga, P.; Kun, G. End-to-End Monitoring Techniques and Services, 2005. Workshop on, 2005

This paper introduces a new approach for determining bottleneck link locations in a network. The considered measurement model is passive monitoring of a backbone link. We analyze the properties of packet interarrival time (PIT) distribution functions of network segments and make decisions whether the extracted properties of a link suggest bottleneck behavior or not. The correlation between bottleneck behavior and ...


Frequency-domain identification of multivariable linear systems with noisy input

Tugnait, J.K. Decision and Control, 1995., Proceedings of the 34th IEEE Conference on, 1995

The problem considered is that of identifiability of unknown parameters of multivariable, linear "errors-in-variables" models, i.e., linear systems where measurements of both input and output of the system are noise contaminated. Attention is focused on frequency-domain approaches where the integrated polyspectrum (bispectrum or trispectrum) of the input and the integrated cross-polyspectrum, respectively, of the input-output are exploited. Two new classes ...


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