scholarly journals A Fast Correlation Method for Studying Drifting Patterns Associated with Ionospheric Irregularities

1970 ◽  
Vol 23 (5) ◽  
pp. 947
Author(s):  
DH Clark ◽  
DJ Stevenson
Keyword(s):  
Correlation Analysis ◽  
Curve Fitting ◽  
Digital Computer ◽  
Correlation Method ◽  
Ionospheric Irregularities ◽  
Full Correlation Analysis

The method commonly used in the analysis of drifting patterns associated with ionospheric irregularities is the full-correlation method of Briggs, Phillips, and Shinn (1950, hereafter referred to as BPS). A full-correlation analysis requires lengthy calculations, even on a digital computer, as it involves repetitive calculations and complicated curve-fitting techniques.

scholarly journals EYE AND FOOT COORDINATION CONTRIBUTION ON PASSING SKILLS IN FUTSAL ATLET AT SDIT IQRA BENGKULU

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Desrio Windoro
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Significant Relationship ◽  
Correlation Method ◽  
Homogeneity Test ◽  
Positive Contribution ◽  
Significance Level ◽  
Practice Test ◽  
Quantitative Correlation ◽  
Normality Test

<p><em>Futsal is one of the most popular extracurricular by students at SDIT IQRA1 of Bengkulu City. This study aims to determine the contribution of eyes and feet coordination towards basic passing skills on futsal athletes at SDIT IQRA 1 of Bengkulu City. The method used in this study is quantitative correlation method. Population in this study is all students of sport futsal extracurricular while the sample is 20 students. The instruments in this study are test of Soccer Wall Volley Test from Barry L. Johnson and to  measure the passing skill by using passing practice test. Prerequisite data analysis used is normality test with Lilliefors, homogeneity test and contribution test. The data analysis used is Product Moment Correlation analysis with 5% significance level. Based on the results of the study, it is found that (1) there is a significant relationship between coordination of eyes and feet (X) to the accuracy of the passing indicated by r count = 0.90977 &gt; r <sub>(0.05) (20</sub>) = 0.444. (2) There is a strong positive contribution of 82.768% between eyes and feet coordination (X) towards passing skill (Y) on futsal athletes at SDIT IQRA 1 of Bengkulu City.</em></p>

scholarly journals What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models

2019 ◽  
Vol 33 ◽  
pp. 6309-6317 ◽  
Author(s):  
Fahim Dalvi ◽  
Nadir Durrani ◽  
Hassan Sajjad ◽  
Yonatan Belinkov ◽  
Anthony Bau ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Language Processing ◽  
Deep Neural Networks ◽  
Correlation Method ◽  
Language Modeling ◽  
Neural Models ◽  
Cross Model ◽  
Neural Machine Translation ◽  
Model Correlation ◽  
Representation Level

Despite the remarkable evolution of deep neural networks in natural language processing (NLP), their interpretability remains a challenge. Previous work largely focused on what these models learn at the representation level. We break this analysis down further and study individual dimensions (neurons) in the vector representation learned by end-to-end neural models in NLP tasks. We propose two methods: Linguistic Correlation Analysis, based on a supervised method to extract the most relevant neurons with respect to an extrinsic task, and Cross-model Correlation Analysis, an unsupervised method to extract salient neurons w.r.t. the model itself. We evaluate the effectiveness of our techniques by ablating the identified neurons and reevaluating the network’s performance for two tasks: neural machine translation (NMT) and neural language modeling (NLM). We further present a comprehensive analysis of neurons with the aim to address the following questions: i) how localized or distributed are different linguistic properties in the models? ii) are certain neurons exclusive to some properties and not others? iii) is the information more or less distributed in NMT vs. NLM? and iv) how important are the neurons identified through the linguistic correlation method to the overall task? Our code is publicly available as part of the NeuroX toolkit (Dalvi et al. 2019a). This paper is a non-archived version of the paper published at AAAI (Dalvi et al. 2019b).

scholarly journals Variance of wind estimates using spaced antenna techniques with the MU radar

2004 ◽  
Vol 22 (11) ◽  
pp. 3863-3868
Author(s):  
G. Hassenpflug ◽  
M. Yamamoto ◽  
S. Fukao
Keyword(s):  
Experimental Data ◽  
Correlation Analysis ◽  
Error Propagation ◽  
Cross Correlation ◽  
Anisotropic Scattering ◽  
Standard Theory ◽  
Horizontal Wind ◽  
Mu Radar ◽  
Full Correlation Analysis

Abstract. Variance of horizontal wind estimates in conditions of anisotropic scattering are obtained for the Spaced Antenna (SA) Full Correlation Analysis (FCA) method of Holloway et al. (1997b) and Doviak et al. (1996), but are equally applicable to the Briggs method of FCA. Variance and covariance of cross-correlation magnitudes are theoretically estimated, and the standard theory of error propagation is used to estimate the variance of the wind components for the infinite SNR case. The effect of baseline orientation is investigated, and experimental data from the MU radar in Japan is presented.

Alarm Correlation Analysis Method Based on Fuzzy Immune Evolution

2014 ◽  
Vol 556-562 ◽  
pp. 6191-6195
Author(s):  
Yong Wei Wang ◽  
Hui Fang Su ◽  
Wei Qiu
Keyword(s):  
Correlation Analysis ◽  
Time Window ◽  
Correlation Method ◽  
Analysis Method ◽  
Selection Algorithm ◽  
Artificial Immune ◽  
Fuzzy Correlation ◽  
Alarm Correlation ◽  
Correlation Analysis Method ◽  
Correlation Rules

This paper proposes a correlation analysis method based on fuzzy rules and artificial immune. Firstly, we adopt the alarms selection algorithm based on a sliding time window to improve the efficiency of selected alarm. Secondly, the analysis method based on fuzzy correlation rules is used to associate the known patterns static and rapidly. Then, using a method based on immune evolution to improve and adaptive the antibody so as to achieve the dynamic, intelligent correlation of unknown model. The experimental results in LLDOS1.0 and LLDOS2.0 show that the new method gets better accuracy than typical correlation methods, which can ensure the efficiency of correlation analysis and the adaptability of the correlation method.

A Separation Method of 3D Engineering Surface with Correlation Analysis of NSCT Sub-Bands

2012 ◽  
Vol 248 ◽  
pp. 443-449
Author(s):  
Ming Wei Chui ◽  
You Qian Feng ◽  
Wei Wang ◽  
Xiao Dong Xu ◽  
Zheng Chao Li
Keyword(s):  
Correlation Analysis ◽  
Surface Topography ◽  
Pearson Correlation ◽  
Correlation Method ◽  
Correlation Coefficients ◽  
Separation Method ◽  
Real Surface ◽  
Nonsubsampled Contourlet Transform ◽  
Filtering Method ◽  
Frequency Components

The 3D engineering surfaces are comprised of a range of spatial frequency components, such as form, waviness and roughness. Filtering techniques are commonly adopted to separate the different components. To overcoming the shortcomings of traditional filtering method, a new separation method is proposed with the correlation analysis of sub-bands in nonsubsampled contourlet transform (NSCT) domain. The 3D engineering surface topography is decomposed into different sub-bands by NSCT, and the correlation coefficients of NSCT sub-bands with its parent and children sub-bands are calculated by Pearson correlation method. Then the roughness, waviness and form of 3D real surface topography are restructured respectively by the inverse NSCT based on the NSCT sub-bands which belong to different components. Finally, a group of 3D engineering surfaces are separated into different components, and the result shown that the proposed method can separate 3D engineering surface effectively.

Curve Fitting using a Digital Computer

Nature ◽  
1964 ◽  
Vol 201 (4915) ◽  
pp. 174-174
Author(s):  
D. A. L. PAUL ◽  
W. D. SAWYER
Keyword(s):  
Curve Fitting ◽  
Digital Computer

scholarly journals Simulation of Spaced Antenna Wind Retrieval Performance on an X-Band Active Phased Array Weather Radar

2013 ◽  
Vol 30 (7) ◽  
pp. 1447-1459 ◽  
Author(s):  
V. Venkatesh ◽  
S. J. Frasier
Keyword(s):  
Correlation Analysis ◽  
Electric Fields ◽  
Time Domain ◽  
Phased Array ◽  
Weather Radar ◽  
Wind Retrieval ◽  
Fitting Procedure ◽  
X Band ◽  
The Time Domain ◽  
Full Correlation Analysis

Abstract Spaced antenna baseline wind retrievals, in conjunction with traditional Doppler measurements, are a potential means of fine angular resolution weather radar wind vector retrieval. A spaced antenna implementation on an X-band active phased array architecture is investigated via Monte Carlo simulations of the backscattered electric fields at the antenna array. Several retrieval methods are exercised on the data produced by the simulator. Parameters of the X-band spaced-antenna design are then optimized. Benefiting from the parametric fitting procedure inherent in the time domain slope at zero lag and full correlation analysis, the study finds both of these algorithms to be more immune to thermal noise than the spectral retrieval algorithms investigated. With appropriately chosen baselines, these time domain algorithms are shown to perform adequately for 5-dB SNR and above. The study also shows that the Gaussian slope at zero lag (G-SZL) algorithm leads to more robust estimates over a wider range of beamwidths than the Gaussian full correlation analysis (G-FCA) algorithm. The predicted performance of the X-band array is compared to a similar spaced antenna implementation on the S-band National Weather Radar Testbed (NWRT). Since the X-band signal decorrelates more rapidly (relative to S band), the X-band array accumulates more independent samples, thereby obtaining lower retrieval uncertainty. However, the same rapid decorrelation also limits the maximum range of the X-band array, as the pulse rate must be sufficiently high to sample the cross-correlation function. It also limits the range of tolerable turbulence velocity within the resolution cell.

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