standard deviation
Standard Deviation and Variance.docx
... But squaring them makes the final answer really big, and so un-squaring the Variance (by taking the square root) makes the Standard Deviation a much more useful number... Standard Devia[r] ...
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Semi Optimal Edge Detector based on Simple Standard Deviation with Adjusted Thresholding
... The organization of this paper is as follows: In section 2 a preliminaries about edge detection method have been discussed. Also, in section 3, the main contribution of this paper has been presented and that is using ...
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Medical Image Compression using Standard Deviation Based Wavelet Coefficients Thresholding Method
... using Standard Deviation-Based Wavelet Coefficients Thresholding Method is ...using standard devia- tion ...proposed Standard Deviation-Based Thresholding Algorithm benefited in ...
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Algorithms and Applications for Estimating the Standard Deviation of AWGN when Observations are not Signal-Free
... most standard filtering techniques must be adjusted with an estimate of the noise standard deviation when the latter is ...noise standard deviation is then estimated on the basis of ...
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Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification
... In many practical applications, textures are captured in arbitrary orientations. Lately, Guo and his colleagues have developed several methods which modify an LBP operator in order to improve its performance and robust- ...
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Text localization using standard deviation analysis of structure elements and support vector machines
... A text localization technique is required to successfully exploit document images such as technical articles and letters. The proposed method detects and extracts text areas from document images. Initially a connected ...
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Threshold estimation by adapting standard deviation at wavelet details subbands for image compression
... the standard deviation to measure the distribution of wavelet coefficient ...of standard deviation is low, it shows that most of the wavelet coefficient value concentrates on certain ...higher ...
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Automatic threshold of standard deviation to reject noise in raw data of partial discharges
... [1] E. P. Waldi, A. Aulia, A. Hazmi, H. Abral, S. Arief, and M. H. Ahmad, “An optimized method of partial discharge data retrieval technique for phase resolved pattern,” Telkomnika, vol. 14, no. 1, p. 21, Mar. 2016. [2] ...
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ON THE MEAN OF SAMPLE-STANDARD-DEVIATION
... Abstract: This paper studies the mean of the probability distribution of the sample-standard-deviation for all populations, numerically by examples in the main, but followed by analytical summary ...
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Standard Deviation in Wavelet Domain for Simple and Efficient Image Fusion Algorithm
... the standard deviation, where consistency confirmation is utilized as a choice measure in estimate band and most extreme combination govern to the definite ...
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Keystroke Dynamic Authentication Using Combined MHR (Mean of Horner’s Rules) and Standard Deviation
... Keystroke Dynamic Authentication used a behavior to authenticate the user and one of biometric authentication. The behavior used a typing speed a character on the keyboard and every user had a unique behavior in typing. ...
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Standard operation procedures for conducting the on-the-road driving test, and measurement of the standard deviation of lateral position (SDLP)
... the standard deviation of lateral position ...summarizes standard operation procedures (SOPs) for conducting the highway driving test, editing and analyzing the data, and calcula- tion and ...
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Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream
... examine standard deviation value to enhance the accuracy of the existing fast incremental model tree with the drift detec- tion (FIMT-DD) ...The standard FIMT-DD algorithm uses the Hoeffding bound ...
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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... L M ( ) =c (10) Where ‘c’ is the slope or proportionality constant. It can change by the chosen value of M. The chosen value of M<r/4 the function L M ( ) is not a linear relationship with the standard ...
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Improved confidence interval estimation of the population standard deviation using ranked set sampling: A simulation study
... sample standard deviation S is the common point estimator of σ, but S is sensitive to the presence of outliers and may not be an efficient estimator of σ in skewed and leptokurtic ...
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Simulation-based estimation of mean and standard deviation for meta-analysis via Approximate Bayesian Computation (ABC)
... In this paper we implement the ABC method using a simple rejection algorithm. We provide an example R code to help readers implement our simulation-based estimation method (Additional file 3). Other algorithms available ...
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Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review
... Our review had a number of strengths and limitations. Because of the frequent usage of the search terms of interest (mean, standard deviation) in manuscript text it was a challenge to develop a sufficiently ...
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A Petri net approach to fault verification in phased mission systems using the standard deviation technique
... now standard aspects of complex ...the standard deviation tech- nique the similarity of the system variables is assessed and the validity of the fault ...
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Wavelet coefficients reduction method based on standard deviation concept for high quality compressed image
... This paper proposes a method to estimate the wavelet coefficient threshold value at wavelet details subbands to archive high quality image compression. It uses the features of Discrete Wavelet Transform (DWT) where the ...
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Image compression using a new adaptive standard deviation thresholding estimation at the wavelet details subbands
... So, in this project we are proposing a new threshold estimation based on the standard deviation concept. For each detail subband, the individual threshold value λ, is calculated and then it is applied to ...
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