Conferences related to Correlation

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


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 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


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.


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Periodicals related to Correlation

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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.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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 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 ...


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Most published Xplore authors for Correlation

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Xplore Articles related to Correlation

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Limits on the complexity of empirical models of magnetic storm phenomena

Space Weather, 2006

We explore the statistical limits on the complexity of data-derived models of magnetic storm phenomena, including magnetic indices, plasmapause evolution, and outer radiation belt dynamics. Specifically, we estimate the limits on the number of free parameters justifiable by application of Occam's razor, or the rule of parsimony. These limits arise from the strong intercorrelation of geomagnetic phenomena, which decimates the ...


An optimized cross correlation power attack of message blinding exponentiation algorithms

China Communications, 2015

The message blinding method is the most efficient and secure countermeasure against first-order differential power analysis(DPA). Although cross correlation attacks(CCAs) were given for defeating message blinding methods, however searching for correlation points is difficult for noise, misalignment in practical environment. In this paper, we propose an optimized cross correlation power attack for message blinding exponentiation algorithms. The attack method can ...


Average achievable rate of spatial diversity MIMO-FSO over correlated Gamma–Gamma fading channels

IEEE/OSA Journal of Optical Communications and Networking, 2018

This paper studies the average achievable rate (AAR) of spatial diversity multiple-input multiple-output (MIMO) free-space optical (FSO) communications over correlated Gamma-Gamma (G-G) fading channels. In particular, we derive the AAR for two different combining techniques at the receiver, namely equal gain combining (EGC) and maximal ratio combining (MRC). Based on atmospheric fading correlation analysis and by employing an approximation method ...


DOA Estimation Using Cyclostationarity of OFDM Signal

2018 IEEE International Workshop on Electromagnetics:Applications and Student Innovation Competition (iWEM), 2018

Current major transmission scheme is OFDM transmission. This paper proposes a DOA estimation method using cyclostationarity of OFDM signal and evaluates its effectiveness. As a result, it is clarified that only the desired wave can be estimated by the proposed DOA estimation method. The accuracy of proposed method is improved when the guard interval is long or number of elements ...


A new method for ionospheric short-term forecast using similar-day modeling

ISAPE2012, 2012

The conception of similar-day and its modelling of ionospheric short-term forecast are presented. The similar-day method not only has the merits of simpleness and facility, but also improves the forecast accuracy. A test of the method for 1h~24h f<sub>0</sub>F<sub>2</sub> forecast of Manzhouli, Beijing, Urumchi and Haikou during the periods of the high level solar activities (in 1980) and a comparison ...


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Educational Resources on Correlation

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IEEE-USA E-Books

  • Limits on the complexity of empirical models of magnetic storm phenomena

    We explore the statistical limits on the complexity of data-derived models of magnetic storm phenomena, including magnetic indices, plasmapause evolution, and outer radiation belt dynamics. Specifically, we estimate the limits on the number of free parameters justifiable by application of Occam's razor, or the rule of parsimony. These limits arise from the strong intercorrelation of geomagnetic phenomena, which decimates the effective sample size of independent observations of magnetic storm phenomena. We show that the resulting paucity of distinct magnetic storms over the history of magnetic indices and satellite observations severely limits the justifiable complexity of data-derived models. Our analysis applies to a wide variety of models with a finite number of constant free parameters but not to models with time- varying parameters nor to nearest-neighbors models.

  • An optimized cross correlation power attack of message blinding exponentiation algorithms

    The message blinding method is the most efficient and secure countermeasure against first-order differential power analysis(DPA). Although cross correlation attacks(CCAs) were given for defeating message blinding methods, however searching for correlation points is difficult for noise, misalignment in practical environment. In this paper, we propose an optimized cross correlation power attack for message blinding exponentiation algorithms. The attack method can select the more correlative power points of share one operation in the modular multiplication by comparing variances between correlation coefficients. Further we demonstrate that the attack method is more efficient in experiments with hardware implementation of RSA on a crypto chip card. In addition to the proposed CCA method can recovery all 1024bits secret key and recognition rate increases to 100% even when the recorded signals are noisy.

  • Average achievable rate of spatial diversity MIMO-FSO over correlated Gamma–Gamma fading channels

    This paper studies the average achievable rate (AAR) of spatial diversity multiple-input multiple-output (MIMO) free-space optical (FSO) communications over correlated Gamma-Gamma (G-G) fading channels. In particular, we derive the AAR for two different combining techniques at the receiver, namely equal gain combining (EGC) and maximal ratio combining (MRC). Based on atmospheric fading correlation analysis and by employing an approximation method for the sum of correlated G-G random variables (RVs), closed-form expressions for AAR are derived for the EGC scheme. For the case of the MRC technique, we first derive the joint probability distribution of correlated G-G RVs with the arbitrary correlation coefficient. The AAR is then computed based on the use of the moment generating function. Numerical results with practical channel correlation coefficients are presented to demonstrate the negative impact of channel correlation on the system performance. Monte Carlo simulations are also performed to validate the analytical results, and an excellent agreement between the analytical and simulation results is confirmed.

  • DOA Estimation Using Cyclostationarity of OFDM Signal

    Current major transmission scheme is OFDM transmission. This paper proposes a DOA estimation method using cyclostationarity of OFDM signal and evaluates its effectiveness. As a result, it is clarified that only the desired wave can be estimated by the proposed DOA estimation method. The accuracy of proposed method is improved when the guard interval is long or number of elements is large.

  • A new method for ionospheric short-term forecast using similar-day modeling

    The conception of similar-day and its modelling of ionospheric short-term forecast are presented. The similar-day method not only has the merits of simpleness and facility, but also improves the forecast accuracy. A test of the method for 1h~24h f<sub>0</sub>F<sub>2</sub> forecast of Manzhouli, Beijing, Urumchi and Haikou during the periods of the high level solar activities (in 1980) and a comparison with the autocorrelation method developed by LIU R show that the method is realistic and reliable. The similar-day method betters the forecast result obviously for more than N h ahead (N=1 for winter and equinoxes, N=3 for summer), and especially in winter, the relative error can be usually reduced by 2 percent or so. Finally, a new method for ionospheric short-term forecast is formed by combining the similar-day method and the autocorrelation method.

  • Testing the resistance of polyethylene to water trees

    For the past decade, water trees have been a subject of great interest to the utility industry. These unpredictable defects are perplexing in that while it has been rather easy to define the growth requirements of trees in insulation systems, it has been difficult to determine the effects of environmental parameters on the rate of tree growth.

  • Multiple Complementary Sequence Sets with Low Inter-Set Cross-Correlation Property

    Complementary sequences have been applied to multi-carrier code-division multiple-access (MC-CDMA) wireless communication systems. In this paper, multiple complementary sequence sets are constructed. The presented multiple complementary sequence sets have the following properties: 1) each set is a complete complementary code (CCC) with parameters $(p,p,p)$-CCC; 2) the maximum inter-set aperiodic cross-correlation amplitude is $p$; 3) an aperiodic quasi-complementary sequence set (QCSS) with asymptotically near optimal correlation amplitude will be obtained by combining these complementary sequence sets together, which is not covered in the literature.

  • Technical and management notes: Sources of papers published in IEEE transactions on engineering management: A case study

    The mix of academic and practitioner authors in the IEEE Transactions on Engineering Management is apparently an item of recurring interest. Repeatedly, the question is asked: “Why can't we get more papers from practitioners?” The question remains unanswered in spite of unvalidated statements to the contrary.

  • User Electricity Consumption Pattern Optimal Clustering Method for Smart Gird

    To select the optimal number of clusters for the user's intelligent behavior in the context of big data, a cluster number optimization method for user behavior analysis is proposed. Firstly, this paper is based on the research of feature optimization method for the behavior analysis of intelligent electricity users in the early stage. Then, the optimal cluster number selection method is proposed in this paper, and the optimal cluster number is determined by considering the accuracy rate index and correlation coefficient index comprehensively. Finally, this paper takes Irish electricity data as data source to carry out experimental simulation. The simulation results show that the proposed method can select a reasonable number of clusters and effectively improve the data clustering effect of the analysis of electrical behavior.

  • An Approach to N-Gram Language Model Evaluation in Phrase-Based Statistical Machine Translation

    N-gram Language model plays an important role in statistical machine translation. Traditional methods adopt perplexity to evaluate language models, while this metric does not consider the characteristics of statistical machine translation. In this paper, we propose a novel method, namely bag-of-words decoding, to evaluate n-gram language models in phrase-based statistical machine translation. As compared with perplexity, our approach has more remarkable correlation with translation quality measured by BLEU. Experimental results on NIST data sets demonstrate the effectiveness of our method.



Standards related to Correlation

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