Gaussian White Noise
Some Applications of Higher Moments of the Linear Gaussian White Noise Process
... Y = X have been given in Table 5 and Table 6 respectively. It is also clear from Equation (2.24) that the kurtosis itself is a function of variances. We, therefore, insist that for a stochastic process to be ac- cepted ...
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Chaotic ray propagation in corrugated layers
... Our first simulation has been performed by perturbing the lower flat interface with a Gaussian white noise. Many sim- ulations (see an example in Fig. 3) have been made for dif- ferent values of the ...
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Dealing with front-end white noise on differentiated measurements such as frequency and ROCOF in power systems
... to Gaussian (white) noise that is uncorrelated between ...the noise is composed of genuine white noise ...front-end noise will be composed of a mixture of the ...the ...
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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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Aspects of Bayesian inverse problems
... is Gaussian white ...non-white Gaussian noise; when restricting to the mildly ill-posed diagonal case our rates agree (up to ε > 0 arbitrarily small) with the sharp rates in [44] ...
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Stochastic Estimation of SRSS Method for the Structural Response due to Multi-Components of Earthquake
... Though it is possible to think about the input acceleration waves ~ z 01 , ~ z 02 that have various correlations by using Equation 1, in this case, the parameters Ω p , h p have been changed. This shows certain ...
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Low-frequency ambient noise generator with application to automatic speaker classification
... filtering Gaussian white noise (fgwn) sequences using digital finite impulse response (DFIR) filters and signal processing techniques ...1/f noise statistics can be accurately represented by the ...
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Detection of continuous-time quaternion signals in additive noise
... Grenander’s Theorem one way of computing likelihood ratios for continuous-time observation models is first to reduce the observation signal to an equivalent observation sequence, and then looking for the limit of the ...
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On the Use of Second and Third Moments for the Comparison of Linear Gaussian and Simple Bilinear White Noise Processes
... linear Gaussian white noise ...near Gaussian white noise process for proper identification and characterization from other processes with similar covariance structure ...
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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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PERFORMANCE ANALYSIS OF WAVELET THRESHOLDING METHODS IN DENOISING OF AUDIO SIGNALS OF SOME INDIAN MUSICAL INSTRUMENTS
... the noise as , where is White Gaussian Noise. White Gaussian noise is difficult to remove as it is located at all ...
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A Model for Suppresion of Mixed Gaussian-Impulse Noise In VOIP Systems Avila Vincent, Anshad A.S Abstract PDF IJIRMET160406003
... impulse noise mixed with small dense Gaussian noise in VoIP ...Mixed Gaussian-impulse noise may appear during transmission over cordless phones, in VoIP systems and during the ...
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Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
... structured noise model is ...speckle noise well, while retaining the structure and edges of the ...spackle noise in the frames which are estimated from Intensity Homogeneity Measurements of the ...
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International Journal of Computer Science and Mobile Computing
... Abstract— Photoplethysmography (PPG) is a non-invasive method of studies of the blood volume pulsations by detections and temporal analysis of the tissue back-scattered or transmitted optical radiation. It provides a ...
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Improved Non-Local Means Algorithm Based on Dimensionality Reduction
... (a) Noise free image Lena, (b) noisy image with Additive white Gaussian noise, (c) denoised image using the NLM method , PSNR= ...(b) Noise free fragment of Lena image (c) noisy ...
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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
... The conventional spread spectrum modulation techniques are known to provide security to information transmitted over communication channels by giving the data a noise-like appearance in the channel. The use of PN ...
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A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels
... additive white Gaussian noise, maximal ratio combining (MRC) is a theoretically optimal combiner over fading channels in which the received signals from different paths are combined so as to maximize ...
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Performance of AWGN Channel Using Least Squar...
... MIMO-OFDM is commonly used communication system due to its high transmission rate and robustness against multipath fading. In MIMO-OFDM, channel estimation plays a major role. It refers to estimation of transmitted ...
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ZigBee Signal Phase Tracking Using a Discrete Kalman Filter Estimator under AWGN Channel
... DOI: 10.4236/jcc.2019.71002 12 Journal of Computer and Communications formance of Kalman Filter; therefore, Kalman Filter performs well with respect to the interference and Non-Gaussian noise. The paper in ...
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Stochastic resonance in electrical circuits—I: Conventional stochastic resonance
... pseudo- white noise ...are Gaussian to more than 4 standard deviations and the repetition time of the pseudorandom time sequences is ...these noise generators should not be used for ...
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