spectral density
Power Spectral Density Based Technique for Feature Detection in SAR Images
... Power Spectral Density based filtering technique to reduce the speckle noise in the SAR images of the ocean surface and further segment it to extract the different ocean surface features like ships, oil ...
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Spectrum sensing based on cumulative power spectral density
... In this paper, we propose new spectrum sensing detec- tors based mainly on the cumulative sum of the power spectral density (PSD) of the received signal 1 . It is known that the PSD of a white noise is ...
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Index-Term:- Spectral features, spectral density feature selection, pattern recognition, retrieval accuracy.
... multi spectral band resolution is explored towards selection of feature coefficients based on its energy ...band spectral density is ...its spectral density achieve two objective of ...
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Spectral density estimation for symmetric stable p-adic processes
... In this paper, we have proposed in this paper some results about the estima- tion of the spectral density for symmetric stable p-adic processes. The approach was based on the technique used by Masry and ...
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Power Spectral Density Computation using Modified Welch Method
... This paper proposed a low-complexity approach to estimate the power spectral density using Modified Welch method. The computational complexity is reduced using the novel method. The pipelined butterfly ...
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Power Spectral Density of Dicode Pulse Position Modulation
... power spectral density of that format theory has been described with mathematic equation and graph of that have been ...software spectral analyzer. The reliability of both power spectrum ...
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Choice of Spectral Density Estimator in Ng Perron Test: Comparative Analysis
... of spectral density estimators used in the construction of ...for spectral density available in literature, having crucial impact on the output of test however there is no clarity on which of ...
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Sum rules and spectral density flow in QCD and in superconformal theories
... its density ρ) with the requirement of integrability of the spectral density, essentially fix f to be a constant and the sum rule (7) to be saturated by a single massless ...
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Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
... for spectral sub- traction type of methods has been ...power spectral density error was introduced, and its mean square error was optimized for power ...
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Spectral Density Estimation of Continuous Time Series
... studies spectral density estimation of a strictly stationary r-vector valued continuous time series including missing ...the spectral density ...
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Multi Layers Saliency Detection Based on Spectral Density Peaks Clustering
... To solve the influence of image segmentation on saliency detection, the cognitive psychology theory is introduced, which is that there is more than one scale during human visual perception and there are complex ...
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Modeling of Noise Power Spectral Density Analysis for GaN/AlGaN HEMT
... • Flicker Noise: Flicker noise is found in all active devices as well as passive elements. Flicker noise dominates noise at low frequencies. The noise spectral density has a 1/f frequency dependence and ...
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Coherence and polarisation phenomena in optical systems and fibres for signal processing
... the spectral line that is in phase at the two slits, but the spectral line that is out of phase at the two slits has disappeared from the spectral distribution at ...the spectral ...
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Motion-correlated flow distortion and wave-induced biases in air-sea flux measurements from ships
... (a) Spectral density of non-directional wave heights from WAVEX with frequency shifted to the reference frame of the moving ship; (b) spectral density of platform vertical velocity as measured ...
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Structure of a rural atmospheric boundary layer near the ground
... Longitudinal Component u Power Spectral Density Variation with Trend Removal and Correction for Non-Cosine Response.. Lateral Component v Power Spectral Density Variation with Trend Remo[r] ...
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Estimation of Additive Error in Mixed Spectra for Stable Processes
... the spectral density. The spectral den- sity function was already estimated by Masry and Cambanis (1984), when the time of the process is continuous, by Sabre (1995) when the time of the process is ...
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Variability of flow discharge in lateral inflow dominated stream channels
... the spectral representation theory, analytical expressions for the covariance function and evolutionary power spectral density of the random discharge perturbation process are derived to quantify ...
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Discrimination of Epileptic and Normal EEG Using Euclidean Distance Method
... powers spectral density is calculated per page for excel worksheet ...Power spectral density for each page is a matrix of dimension (513*16) ...
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On Spectral Representation of Varma Models with Change in Regime
... the spectral density matrix of such models was proposed by Pataracchia (2008) ...the spectral density matrix of these processes was given in Cavicchioli (2013), together with some new ...
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The response of waves to an opposing wind
... A variance expression for spectral density estimates is most conveniently obtained by direct Fourier transform operations, where the autospectral density function of a stationary ergodic[r] ...
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