Autocorrelation function
Blind spectrum sensing using symmetry property of cyclic autocorrelation function: from theory to practice
... important function for the establishment of cognitive ...cyclic autocorrelation function (SP-CAF), is implemented and tested using universal software radio peripheral platform and GNU Radio ...
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Estimation of autocorrelation function and partial autocorrelation function of evapotranspiration for Ranchi district, India, in context of time series modelling
... A autocorrelation function is a bar chart of correlation coefficients between the given series and its ...partial autocorrelation function is the bar chart of partial correlation coefficient ...
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Periodicity in the autocorrelation function as a mechanism for regularly occurring zero crossings or extreme values of a Gaussian process
... the autocorrelation function or power spectrum of a one-dimensional continuous random process determines the density function of the intervals between the zero crossings of that ...the ...
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The Use of Autocorrelation Function in the Seasonality Analysis for Fatigue Strain Data
... For the purpose of data comparison, the strain signal from the database of the Society of Automotive Engineers (SAE) profiles, i.e. the SAESUS (SAE standard suspension) was used. The SAESUS signal was collected from a ...
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Measuring Dynamic Correlations of Words in Written Texts with an Autocorrelation Function
... One major way to capture the correlations is to analyze word co-occurrence statistics, which is a traditional quantitative method in linguistics. This approach has been successfully applied to the extraction of semantic ...
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Linear Prediction Using Refined Autocorrelation Function
... with autocorrelation method for spectral estimation. The autocorrelation function of voiced speech is distorted by the periodicity in a convolutive manner which can greatly be removed using the ...
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Density autocorrelation function in a classical fluid from initial correlations
... %'e now note a general rule of these phase aver- ages: Because of the symmetry of the momentum weight function, any integrand with odd powers of the momenta will yield a zero contributio[r] ...
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TDARMA Model Estimation Using the MLS and the TF Distribution
... The identification of the TDMA part is much more difficult because it is a non-linear problem. In this paper, the Durbin's approximation method is modified for the estimation of the TDMA parameters by considering the ...
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Generalized Heteroskedasticity ACF for Moving Average Models in Explicit Forms
... In this paper, for a general covariance structure of the disturbance terms, we investigate the ACF of heteroskedastic in the residuals for an MA(q) by employing a general formulation for MA models. In particular, we ...
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ENSEMBLE METHODS FOR TIME SERIES CLASSIFICATION
... The Autocorrelation function measures the interdependence of terms in the time domain, and is commonly used in statistics and speech processing to model data where there is a dependency between observations ...
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Dynamic versus Static Approach to Theoretical Anharmonic Vibrational Spectroscopy of Molecular Species Elevant to Atmospheric Chemistry: A Case Study of Formic Acid
... moment autocorrelation function, throughout this present study, we will use the kinetic energy spectra in parallel with those computed from the dipole autocorrelation ...moment autocorrelation ...
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Texture Feature Representation and Retrieval
... The autocorrelation function was chosen as a second representation because it presents some very desirable ...corresponding autocorrelation function presents an equivalent ...the ...
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Seasonal Arima Modelling of Nigerian Monthly Crude Oil Prices
... the autocorrelation plot or the correlogram shows it ...the autocorrelation function cuts off, the cut-off lag is an estimate of the non-seasonal moving average order, ...partial ...
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Genetic Algorithm Based Finite State Markov Channel Modeling
... Abstract: Statistical properties of the error sequences produced by fading channels with memory have a strong influence over the performance of high layer protocols and error control codes. Finite State Markov Channel ...
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Individual-level modifiers of the acute effects of air pollution on mortality in Wuhan, China
... partial autocorrelation function was used to guide the selection of degrees of freedom (df ) for the time ...partial autocorrelation < ...partial autocorrelation values over a 30-day lag ...
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Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum
... Abstract: A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an ...
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A semi analytical lagrangian model to simulate the contaminants dispersion in the stable boundary layer
... A semi-analytical solution for the three-dimensional Langevin equation is presented and used to study the contaminant dispersion in the Stable Boundary-Layer (SBL). The method leads to a stochastic integral equation ...
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First-Order Fractionally Integrated Non-Separable Spatial Autoregressive (FINSSAR(1,1)) Model and Some of its Properties
... There exist class of spatial models that are known as separable models which its correlation structure can be expressed as a product of correlations (Martin 1979, 1996; Basawa, Brockwell and Mandrekar, 1991). In some ...
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Application of Wavelet and Wiener Filtering Algorithm in Image De Noising
... the autocorrelation function of image signal and the observed value of the output, seeking for the unit impulse re- sponse of the filter with minimum mean square error, then make optimal estimation for ...
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Digital Inverse Filter Model
... (6) Expression (2) is a discrete analogue of the solution of the integral equation of Wiener - Hopf. Its components within the task treated as follows. The matrix R is generated using the autocorrelation ...
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