higher order statistics algorithm
Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
... flow. These digital signal types have been identified with a success rate around 90% at SNR=10dB. In [7], the authors proposed a technique based on elementary fourth-order cumulants. In [8], the authors proposed a ...
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An Algorithm for Detection of DVB T Signals Based on Their Second Order Statistics
... The DVB-T signals are transmitted in some UHF bands. Several studies have shown the under-exploitation of these spectral resources [3, 4], and the American regulatory body (FCC) [5] has proposed to open these UHF bands ...
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Efficient Modeling Of Higher Order And Longer Range Geometry Statistics
... Qualitative analysis: Fig. 7.6 illustrates the predicted segmentation re- sults of example testing images using different methods. We first compare our method with 4-neighbor grid CRF when randomly generated unary ...
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Computer Platform Adaptive Interference Cancellation Using Higher Order Statistics
... on higher-order statistics to reduce the K-distributed self interference observed in a computer ...adaptive algorithm which uses higher order statistics is first applied ...
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Object representation for multi beam sonar image using local higher order statistics
... In previous work, a common strategy for object represen- tation is directly making image segmentation that relates the highlighted area to an object. D. Y. Dai et al. [8] pre- sented a method for segmenting moving and ...
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Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame
... where N is the complexity of the quadrature rule. The abscissae u n ∈ U and the positive weights w n > 0, for n = 1, . . . , N, are defined by the type of quadrature algorithm employed [25, p. 114]. With stable ...
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Estimation of MIMO transmit antenna number using higher order moments based hypothesis 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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Efficient Encoding Algorithm for Third-Order Spectral-Null Codes
... of higher order moments, cumulants and higher-order spectra in various areas (see [2] and [3] for two large bibliographies on these and other ...of higher order moments) and ...
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Automatic Assessment of Pathological Voice Quality Using Higher-Order Statistics in the LPC Residual Domain
... CART algorithm which uses HOS parameters together can provide an average classification performance, at ...an algorithm proposed by Lingyun Gu et ...automatic algorithm for pathological voice quality ...
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A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higher-order statistics
... Methods: In this work 2 nd , 3 rd and 4 th order cumulants of the ECG beat are calculated and modeled by linear combinations of Hermitian basis functions. Then, the parameters of each cumulant model are used as ...
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Higher-Order Statistics for the Detection of Small Objects in a Noisy Background Application on Sonar Imaging
... original algorithm for the detection of small objects in a noisy background is ...of higher-order statistics (HOS) that are locally esti- mated on the ...proposed algorithm is divided ...
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Electrocardiogram Beat Classification using Discrete Wavelet Transform, Higher Order Statistics and Multivariate Analysis
... QRS complex detected on denoised ECG signal by Pan- Tompkins algorithm. It describes the slope, amplitude and width. The algorithm classified to three steps. First step, the low pass and high pass filters ...
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Circular contour retrieval in real-world conditions by higher order statistics and an alternating-least squares algorithm
... All but the second radius values and spread values are just slightly overestimated, and Figure 7b,c exhibits satisfactory visual results. Figure 7d shows that the Chan and Vese method provides the inner and outer ...
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Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics
... An improved MUSIC algorithm based on higher order statistics was presented and compared with the power spectrum and normal MUSIC method. The ability of the developed method to eliminate strong ...
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Higher order linearisability
... open higher-order libraries, which provide implement- ations of public methods and may themselves depend on abstract ones, to be supplied by parameter ...exclude higher-order functions, those ...
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Higher order volatility
... For an example we turn to the S&P 500 (European-exercise) index options from the Chicago Board Options Exchange. The option price data is sourced from the exchange’s web-based quote service on May 13, 2005, ...
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Efficient Inner to outer Greedy Algorithm for Higher order Labeled Dependency Parsing
... parsing algorithm, together with three baseline systems—the two-stage sys- tem (McDonald, 2006) and the two intermediate models, Model 0 and Model 1—and the best sys- tems reported in CoNLL shared tasks for each ...
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On the Tractability of Transmuted Type I Generalized Logistic Distribution with Application
... maximum order statistics of the transmuted type I generalized logistic distribution are established and the relationships between the probability density functions of the minimum and maximum order ...
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Distributional Properties of Order Statistics and Record Statistics
... Alzaid and Ahsanullah (2003) have characterized distributions using distributional properties of adjacent lower records, upper records and order statistics. Castaño-Martínez et al. (2010) have extended the ...
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Higher Order Vagueness
... concept, Higher Order ...make Higher Order Vagueness an object of scientific attention, we conclude that vagueness is undesirable in logical systems but desirable in language, and the ...
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