white non-Gaussian noise
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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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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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels
... Abstract—In many communication systems, information carrying symbols are transmitted in blocks with guard intervals between blocks for avoiding inter-block interference. This paper proposes a block transmission system ...
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Some Applications of Higher Moments of the Linear Gaussian White Noise Process
... the noise process is Gaussian (that is, if all of its joint distributions are normal), then stronger conclusions can be drawn when a model is fitted to the ...linear Gaussian process are ...
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Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise
... parameter h and close to 11 × 11 pixels for the search win- dow size. Experimental results obtained indicate two vari- ants for the proposed value of h = 1.0 × σ (h = 10 for σ = 10): (a) for the search window sizes of 11 ...
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International Journal of Computer Science and Mobile Computing
... the noise is a stationary additive white Gaussian (AWGN) ...the noise is often time-varying, correlated and ...impulsive-type noise and for acoustic noise, which is ...
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Non Linear Image Restoration in Spatial Domain
... and Non Local Means algorithm as ...to noise ratio as compared to the previously proposed denoising ...the white Gaussian noise, the effectiveness of the proposed technique has also ...
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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)
... is design by the engineers, so transmitter must be coordinated with a receiver.In communication synchronization is done with the known center frequency transmited by the transmitter signal,so that we can receive our ...
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Detection and Localization of Transient Sources: Comparative Study of Complex-Lag Distribution Concept Versus Wavelets and Spectrogram-Based Methods
... the non-Gaussianity of a compo- ...additive white Gaussian noise, HOS allow to detect them by giving high values for transient components that are over- Gaussian and putting to zero the ...
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Aspects of Bayesian inverse problems
... is Gaussian white ...for 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 ...
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Analysis and models of pre-injection surface seismic array noise recorded at the Aquistore carbon storage site
... 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, stationary, or ...
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Performance of AWGN Channel Using Least Squar...
... Additive White Gaussian Noise (AWGN) is a channel model in which only impairment to communication is a linear addition of wideband or white noise with a constant spectral density and a ...
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Chaotic ray propagation in corrugated layers
... the noise is added to an initially flat interface, which, as a result, will be irregu- larly corrugated, perturbing the ray motion in a complex way depending on the chosen ...
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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... 2. Calculating the slope c value by least square method. The slope c value is not dependent on image content. Due to development of the embedded system, nowadays different resolution cameras are available in the market ...
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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
... and receiver. Instead of going for a design trade-off by incorporating pseudo-random sequences, a chaotic sequence generator is proposed. Chaotic signals possess many properties that make them fit for SS communications. ...
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Improved Non-Local Means Algorithm Based on Dimensionality Reduction
... The Non-Local Means algorithm searches neighboring patches to match with the reference patch. The original algorithm requires an extensive amount of time to select patches similar to the reference patch. These ...
102
Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
... according to Coefficient of Variation that takes into account the local homogeneity of center to neighbouring pixels [13]. An iterative scheme is employed with adaptively estimated parameters in each iteration and the ...
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A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform
... Most of the musical instrument sound signals are far too long to be processed in their entirety; for example a 10 second sarangi sound signal sampled at 44.1 KHz will contain 441,000 samples. Thus, as with spectral ...
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Analysis of Image Denoising using Wavelet Threshold Method
... A wave is usually defined as an oscillating function in time or space. Sinusoids are an example. Fourier analysis is a wave analysis. A wavelet is a “small wave” that has its energy concentrated in time and frequency. It ...
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The Distribution of the Sum of Independent Generalized Gaussian Signals
... Comparing the properties of Z mentioned in Section III with those of GGD in Section II, it is obvious that there are many similarities between them. Therefore, the question of interest is whether Z has generalized ...
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