Root mean square

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In mathematics, the root mean square (abbreviated RMS or rms), also known as the quadratic mean, is a statistical measure of the magnitude of a varying quantity. (Wikipedia.org)






Conferences related to Root mean square

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted 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.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted 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.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


2014 IEEE Radio and Wireless Symposium (RWS)

RWS focuses on the intersection between radio systems and wireless technology, which creates a unique forum for engineers to discuss hardware design and system performance of the state -of-the-art wireless systems. Includes an expanded program on the latest information on wireless communications and networking, and associated enabling technologies as new services and applications emerge.

  • 2013 IEEE Radio and Wireless Symposium (RWS)

    RWS focuses on the intersection between radio systems and wireless technology, which creates a unique forum for engineers to discuss hardware design and system performance of the state-of-the-art wireless systems. Includes an expanded program on the latest information on wireless communications and networking, and associated enabling technologies as new services and applications emerge.

  • 2012 IEEE Radio and Wireless Symposium (RWS)

    RWS focuses on the intersection between radio systems and wireless technology, which creates a unique forum for engineers to discuss hardware design and system performance of the state-of-the-art wireless systems. Includes an expanded program on the latest information on wireless communications and networking, and associated enabling technologies as new services and applications emerge.

  • 2011 IEEE Radio and Wireless Symposium (RWS)

    All aspects of components and systems related to radio and wireless networks.

  • 2010 IEEE Radio and Wireless Symposium (RWS)

    RWS focuses on the intersection between radio systems and wireless technology, which creates a unique forum for engineers to discuss various aspects of wireless communication systems and the state-of-the-art in both fields by exploring the connections between hardware design and system performance.

  • 2009 IEEE Radio and Wireless Symposium (RWS)

    This symposium highlights the state of the art of hardware and systems of radio and wireless

  • 2008 IEEE Radio and Wireless Symposium (RWS)


2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)

The SAM Workshop is a major IEEE event devoted to sensor array and multichannel signal processing.

  • 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)

    The conference topics include array processing techniques for radar, sonar, communications, biomedical applications, microphone and loudspeaker array applications, detection and estimation, source localization, space-time adaptive processing, synthetic aperture techniques, waveform diverse sensors and systems, multichannel imaging, statistical modeling, blind source separation and channel identification, MIMO systems and space-time coding, sensor networks, non-Gaussian, nonlinear and non-stationary models,

  • 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)

    The SAM Workshop is a major IEEE event devoted to sensor array and multi-Channel signal processing. The organizing committee invites the international community to present and discuss state-of-the-art developments in the field.

  • 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)


2012 International ITG Workshop on Smart Antennas (WSA)

The conference is devoted to smart multi-antenna systems, whereas the fields of interest include: antenna array design, beamforming ansd sectorization, antennas for cognitive radio, channel measurements and modeling, field trials and demonstrators, cellular and ISM systems and others.


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Periodicals related to Root mean square

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Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


Signal Processing Magazine, IEEE

IEEE Signal Processing Magazine is ranked as the number three most-cited journal in Electrical and Electronics Engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This publication features tutorial style papers on signal processing research and applications. The primary means of communication of the society leadership ...


Wireless Communications, IEEE Transactions on




Xplore Articles related to Root mean square

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Estimation of forest parameters using CARABAS-II VHF SAR data

J. E. S. Fransson; F. WaLter; L. M. H. Ulander IEEE Transactions on Geoscience and Remote Sensing, 2000

The use of airborne CARABASII VHF (20-90 MHz) SAR data for retrieval of forest parameters has been investigated. The investigation was performed at a test site located in the southwest of Sweden consisting mainly of Norway spruce forests. Regression models predicting forest parameters from radar backscattering amplitude were developed and evaluated. The results showed a linear relationship between backscattering amplitude ...


Performance evaluation of localization techniques in wireless sensor networks using RSSI and LQI

Bodhibrata Mukhopadhyay; Sanat Sarangi; Subrat Kar 2015 Twenty First National Conference on Communications (NCC), 2015

Low-cost precise localization is crucial for wireless sensor networks. RSSI based localization is cost effective when compared to TOA, AOA, TDOA, ultrasonic and acoustic localization as it does not require any extra hardware, power or bandwidth. The radio of sensor nodes provides information about both the RSSI and LQI of a received radio signal. Localization error can be decreased by ...


Theoretical And Experimental Predictions Of The Dynamic Behavior Of Marine Risers

C. Chryssostomidis; N. Patrikalakis Proceedings OCEANS '83, 1983

A comparison of theoretical predictions of the dynamic response of a riser model with experimental measurements is made. The theoretical estimates are obtained from the solution of the linearized structural model of a thin rod under tension. The model of the local hydrodynamic force is based on results from rigid and spring mounted cylinder experiments. The experimental measurements are obtained ...


Evaluation of the synchronous generation and synchronous sampling technique for the determination of low frequency AC quantities

W. Guilherme; K. Ihlenfeld; G. Ramm; H. Bachmair; H. Moser Conference Digest Conference on Precision Electromagnetic Measurements, 2002

The synchronous synthesis and synchronous measurement of sinusoidal signals using a single internal clock frequency of a high-resolution digitizer as proposed by Ramm et al (IEEE Trans. Instrum. Meas. vol. 48, no. 2, pp. 422-426, 1999) allow the determination of electrical alternating current (AC) quantities (root mean square or RMS values, ratios and power) with unprecedented low uncertainties of the ...


Fast Recommendations With the M-Distance

Mei Zheng; Fan Min; Heng-Ru Zhang; Wen-Bin Chen IEEE Access, 2016

Memory-based recommender systems with m users and n items typically require O(mn) space to store the rating information. In item-based collaborative filtering (CF) algorithms, the feature vector of each item has length m,and it takes O(m) time to compute the similarity between two items using the Pearson or cosine distances. In this paper, we propose an efficient CF algorithm based ...


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Educational Resources on Root mean square

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eLearning

Estimation of forest parameters using CARABAS-II VHF SAR data

J. E. S. Fransson; F. WaLter; L. M. H. Ulander IEEE Transactions on Geoscience and Remote Sensing, 2000

The use of airborne CARABASII VHF (20-90 MHz) SAR data for retrieval of forest parameters has been investigated. The investigation was performed at a test site located in the southwest of Sweden consisting mainly of Norway spruce forests. Regression models predicting forest parameters from radar backscattering amplitude were developed and evaluated. The results showed a linear relationship between backscattering amplitude ...


Performance evaluation of localization techniques in wireless sensor networks using RSSI and LQI

Bodhibrata Mukhopadhyay; Sanat Sarangi; Subrat Kar 2015 Twenty First National Conference on Communications (NCC), 2015

Low-cost precise localization is crucial for wireless sensor networks. RSSI based localization is cost effective when compared to TOA, AOA, TDOA, ultrasonic and acoustic localization as it does not require any extra hardware, power or bandwidth. The radio of sensor nodes provides information about both the RSSI and LQI of a received radio signal. Localization error can be decreased by ...


Theoretical And Experimental Predictions Of The Dynamic Behavior Of Marine Risers

C. Chryssostomidis; N. Patrikalakis Proceedings OCEANS '83, 1983

A comparison of theoretical predictions of the dynamic response of a riser model with experimental measurements is made. The theoretical estimates are obtained from the solution of the linearized structural model of a thin rod under tension. The model of the local hydrodynamic force is based on results from rigid and spring mounted cylinder experiments. The experimental measurements are obtained ...


Evaluation of the synchronous generation and synchronous sampling technique for the determination of low frequency AC quantities

W. Guilherme; K. Ihlenfeld; G. Ramm; H. Bachmair; H. Moser Conference Digest Conference on Precision Electromagnetic Measurements, 2002

The synchronous synthesis and synchronous measurement of sinusoidal signals using a single internal clock frequency of a high-resolution digitizer as proposed by Ramm et al (IEEE Trans. Instrum. Meas. vol. 48, no. 2, pp. 422-426, 1999) allow the determination of electrical alternating current (AC) quantities (root mean square or RMS values, ratios and power) with unprecedented low uncertainties of the ...


Fast Recommendations With the M-Distance

Mei Zheng; Fan Min; Heng-Ru Zhang; Wen-Bin Chen IEEE Access, 2016

Memory-based recommender systems with m users and n items typically require O(mn) space to store the rating information. In item-based collaborative filtering (CF) algorithms, the feature vector of each item has length m,and it takes O(m) time to compute the similarity between two items using the Pearson or cosine distances. In this paper, we propose an efficient CF algorithm based ...


More eLearning Resources

IEEE-USA E-Books

  • The Wiener RMS (Root Mean Square) Error Criterion in Filter Design and Prediction

    This chapter contains sections titled: 1 Linear Filters, 2 Minimization of RMS Error, 3 Determination of the Weighting Function, 4 Realization of Operator-- Mathematical Formulation, 5 RC Filter, 6 Prediction and Lag with and without Noise

  • Alternating Current Circuits

    This chapter contains sections titled: AC Voltage and Current Sources, Root Mean Square Values (RMS), and Power Sinusoidal Steady State: Time and Frequency Domains Time Domain Equations: Frequency Domain Impedance and Phasors Power in AC Circuits Dependent Voltage and Current Sources Summary of Key Points Further Reading Problems

  • A Fixed-Point Fast Fourier Transform Error Analysis

    This paper contains an analysis of the fixed-point accuracy of the powqer of two, fast Fourier transform algorithm. This analysis leads to approximate upper and lower bounds on the root-mean-square error. Also included are the results of some accuracy experiments on a simulated fixed-point machine and their comparison with the error upper bound.

  • Covariance, Subspace, and Intrinsic CramrRao Bounds

    Cramï¿¿r-Rao bounds on estimation accuracy are established for estimation problems on arbitrary manifolds in which no set of intrinsic coordinates exists. The frequently encountered examples of estimating either an unknown subspace or a covariance matrix are examined in detail. The set of subspaces, called the Grassmann manifold, and the set of covariance (positive-definite Hermitian) matrices have no fixed coordinate system associated with them and do not possess a vector space structure, both of which are required for deriving classical Cramï¿¿r-Rao bounds. Intrinsic versions of the Cramï¿¿r-Rao bound on manifolds utilizing an arbitrary affine connection with arbitrary geodesics are derived for both biased and unbiased estimators. In the example of covariance matrix estimation, closed-form expressions for both the intrinsic and flat bounds are derived and compared with the root-mean-square error (RMSE) of the sample covariance matrix (SCM) estimator for varying sample support K. The accuracy bound on unbiased covariance matrix estimators is shown to be about (10/log 10)n/K 1/2 dB, where n is the matrix order. Remarkably, it is shown that from an intrinsic perspective, the SCM is a biased and inefficient estimator and that the bias term reveals the dependency of estimation accuracy on sample support observed in theory and practice. The RMSE of the standard method of estimating subspaces using the singular value decomposition (SVD)is compared with the intrinsic subspace Cramï¿¿r-Rao bound derived in closed form by varying both the signal-to-noise ratio (SNR) of the unknown p-dimensional subspace and the sample support. In the simplest case, the Cramï¿¿r-Rao bound on subspace estimation accuracy is shown to be about (p(n - p)1/2 K-1/2SN-1/2 rad for p-dimensional subspaces. It is seen that the SVD-based method yields accuracies very close to the Cramï¿¿r-Rao bound, esta blishing that the principal invariant subspace of a random sample provides an excellent estimator of an unknown subspace. The analysis approach developed is directly applicable to many other estimation problems on manifolds encountered in signal processing and elsewhere, such as estimating rotation matrices in computer vision and estimating subspace basis vectors in blind source separation.



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