gaussian white noise model
Adaptive Wavelet Packet Decomposition for Efficient Image Denoising By Using NeighSure Shrink Method
... additive white Gaussian noise [2] is a common problem in image ...denoising model is that it should completely remove noise as far as possible as well as preserve ...the noise ...
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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... transmission noise is ...The noise generation sources are vision sensor with its circuit, acquisition equipment such as digital scanner and cameras, analog to digital converter (quantizer), transmission ...
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Robust Parametric Modeling of Speech in Additive White Gaussian Noise
... the noise. Generally, these noise-compensation methods [12]-[16] involve iterative schemes which use a set of statistical equations for estimating the parameters of the rational model being ...a ...
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The Distribution of the Sum of Independent Generalized Gaussian Signals
... Generalized Gaussian Distribution(GGD) has a symmetric unimodal density characteristic with variable tail length and contains the Laplacian, Gaussian and uniform distributions as special ...of noise ...
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Efficient analysis of medical image de noising for MRI and ultrasound images
... for noise reduction (or de-noising) giving an insight as to which algorithm should be used to find the most reliable estimate of the original image data given its degraded ...version. Noise modelling in ...
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Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
... Additive White Gaussian Noise (AWGN) corrupted vid- eos namely, ...the noise models are considered in ampli- tude ...tiplicative noise nature as are used for denoising the speckle ...
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Some Applications of Higher Moments of the Linear Gaussian White Noise Process
... Figure 1 suggests two growth models: 1) the quadratic growth model and 2) ex- ponential growth model. We are going to use the behavior of the variance and kurtosis coefficient to determine the optimal value ...
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Analysis and models of pre-injection surface seismic array noise recorded at the Aquistore carbon storage site
... and model seismic noise. We perform noise analysis for a three month subset of passive seismic data from the array and provide conclusive evidence that the noise field is not white, ...
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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)
... channel model is the one in which the input signal is altered by the linear addition of white noise ...[9]. White noise has a flat power spectral density which covers all frequency ...
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Performance of AWGN Channel Using Least Squar...
... a model of the medium between the two. This model of the medium is called channel ...Additive White Gaussian Noise (AWGN), Rayleigh and ...
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Effects of the synoptic scale variability on the thermohaline circulation
... Abstract. In this paper the effect of the synoptic scale vari- ability is analyzed using a simple atmosphere-ocean coupled model. This high frequency variability has been taken into account in the model ...
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ZigBee Signal Phase Tracking Using a Discrete Kalman Filter Estimator under AWGN Channel
... Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation ...simulation model, using MATLAB, will be created to demonstrate ZigBee transmission system with the impact of ...
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Aspects of Bayesian inverse problems
... the white noise model with Gaussian priors of Sobolev regularity; it is shown that in both cases the resulting posterior contracts at the minimax rate when the truth is in a range of spaces ...
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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT INVESTIGATIONS ON THE PERFORMANCE ENHANCEMENT OF SELF ENCODED SPREAD SPECTRUM IN WIRELESS COMMUNICATION Kavitha Rani*, Dr.S Suresh Babu
... Spread spectrum systems are employed for the secure transmission of digital information which is achieved through spreading the signal in frequency domain. Pseudo-Noise (PN) sequences are conventionally used for ...
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Improved Non-Local Means Algorithm Based on Dimensionality Reduction
... Some of the basic filtering such as Gaussian and average filtering have a drawback of over-smoothing on edges and losing image details. Wavelet based denoising method [1], anisotropic diffusion [2], bilateral ...
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PERFORMANCE ANALYSIS OF WAVELET THRESHOLDING METHODS IN DENOISING OF AUDIO SIGNALS OF SOME INDIAN MUSICAL INSTRUMENTS
... correlated noise signals are calculated by a method proposed by Johnston and Silverman ...reduces White Gaussian noise in audio samples and presents enhanced version of accurate songs ...
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Data driven approaches to managing uncertain load control in sustainable power systems (project outputs)
... measurement noise variance, , was set to ...measurement noise was also modeled as white, though in reality it too is colored, making the Kalman filter ...we model the hypothetical changes in ...
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Chaotic ray propagation in corrugated layers
... In any case, we observe periodic behaviours (straight lines in the phase space) because the rays, for large initial take- off angles, reach the edge of the layer after very few reflec- tions with a poor sampling of the ...
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A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform
... the Gaussian white noise under a mean square error (MSE) criterion described in ...the noise, is calcu- lated for each ...block. Noise component removal by thresholding the wavelet ...
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Mandelbrot's stochastic time series models
... 2. Roughness in abstract spatial patterns: The objects traced out over time by low dimensional dynamical sys- tems as they explore phase space (Mandelbrot, 2004). A famous example is the relevance to meteorological ...
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