higher order statistics based method
A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higher-order statistics
... commonly based on the signal model- ing ...paper. Higher-order statistics based methodologies are shown effective in suppressing such signal variations, in particular in the presence of ...
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Computer Platform Adaptive Interference Cancellation Using Higher Order Statistics
... proposed method uses an adaptive filter that is based on higher-order statistics to reduce the K-distributed self interference observed in a computer ...uses higher order ...
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Efficient Modeling Of Higher Order And Longer Range Geometry Statistics
... Analysis: Since the activities in this dataset involve more atomic move- ment interactions of different body parts and from different persons, the rich spatio-temporal interactions modeled with ST-HOF are beneficial. As ...
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Musical-Noise Analysis in Methods of Integrating Microphone Array and Spectral Subtraction Based on Higher-Order Statistics
... that higher- order statistics are strongly related to the amount of musical noise ...integration method from the viewpoint of not only noise reduction performance but also the amount of ...
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Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics
... Studies on the AE monitoring of mechanical seals started in the 1960s. The pioneering work conducted by Orcutt [3] investigated the failure of mechanical seals using the AE method. Miettinen and Siekkinen [4] ...
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Object representation for multi beam sonar image using local higher order statistics
... [5]. Higher-order statistics (HOS) is widely used when first- and second-order statistics fail to solve in the field of image processing [18, ...detection method based on ...
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Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
... categories based on whether or not feature selection is done independently of the learning algorithm used to construct the ...heuristics based on the intrinsic characteristics of the ...
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Fast Estimation of Range and Bearing for a Single Near-field Source without Eigenvalue Decomposition
... tion method for a single near-field source is ...square method. In contrast to high-order statistics based methods, the proposed method can obtain the range and bearing ...
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Automatic Assessment of Pathological Voice Quality Using Higher-Order Statistics in the LPC Residual Domain
... 2.3. Classifier. Classification and regression tree (CART) analysis is a common method to build statistical models founded on tree-based techniques [13]. One of the most important characteristics of the ...
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Estimation of MIMO transmit antenna number using higher order moments based hypothesis testing
... testing based algorithm utilizes the distribution properties of higher-order moments of noise eigenvalues to construct the test ...test statistics converge fast to the normal distribution, the ...
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Comparisons of the LH Moments and the L Moments
... moments method with L moments ...moments, based on linear combinations of higher-order statistics was introduced for charactering the upper part of distributions and larger events in ...
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Signal Denoise Method Based on Fractal Dimension, the Higher Order Statistics and Local Tangent Space Arrangement
... diagnosis based on kernel schur orthog onal local fisher discriminant”, chinese journal of scientific instrument (2010),“Rotor Fault Diagnosis Based on Orthogonal Iteration Local Fisher Discriminant” ...
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PARAMETRIC BLIND IMAGE DEBLURRING WITH GRADIENT BASED SPECTRAL KURTOSIS MAXIMIZATION
... proposed method relies on higher order statistics based non-Gaussianity measure to lead in the direction of increased quality of the deblurred ...re-blurring based image quality ...
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Generalized quasilinearization method and higher order of convergence for second-order boundary value problems
... The method of generalized quasilinearization for second-order boundary value prob- lems has been extended when the forcing function is the sum of 2-hyperconvex and 2-hyperconcave ...quasilinearization ...
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A higher order control volume based finite element method to prodict the deformation of heterogeneous materials
... Koh[3]. They formulated a bi-linear triangular element with linear displacement and linear mi- cro rotation fields. Although no numerical results are presented they note that their purpose is to bring micropolar ...
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Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame
... obtained statistics could be post-processed using Chebychev’s inequality to obtain general bounds of the distribution of the observable via its second-order moments [11] or to quantify the likelihood of ...
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A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series
... forecasting based on high-order fuzzy time ...the method depends strongly on the deviation of highest order in the time ...high order fuzzy time series forecasting and Tsai and Wu [30] ...
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Quantile-Based Generalized Entropy of Order (α, β) for Order Statistics
... . Order statistics plays an important role in various applied practical problems, we refer to Arnold et ...of order statistics is to construct median filters for image and signal ...th ...
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NEW ITERATIVE METHOD FOR SOLVING HIGHER ORDER KDV EQUATIONS
... The organization of this paper is as follows: In section 2, we give the basic introduction of NIM. Solutions of the generalized KdV equations using NIMderived for several forms of gfKdV and gsKdVare discussed in section ...
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Comparison of ICA Non-gaussianity Methods Using Performance Metrics as Correlation Coefficient, Average Execution Time and Computational Speed
... estimation method has been combined with binary time-frequency ...the method that, using ICA the mixed chaotic signals can be separated signals can be separated assuming only independence of source ...
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