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additive non-Gaussian noise

Performance of AWGN Channel Using Least Squar...

Performance of AWGN Channel Using Least Squar...

... 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 Gaussian ...

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Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

... AGN: Additive gaussian noise; ANCC: Additive noise in color components; BMP: Bit map; BMS: Boolean Map Saliency; BRISQUE: Blind/referenceless image spatial quality evaluator; CA: ...

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Detection and Localization of Transient Sources: Comparative Study of Complex-Lag Distribution Concept Versus Wavelets and Spectrogram-Based Methods

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- ...with additive white Gaussian noise, HOS allow to detect them by giving high values for transient components that are over- Gaussian and putting to ...

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Adaptive Electronic Dispersion Compensator for Chromatic and Polarization-Mode Dispersions in Optical Communication Systems

Adaptive Electronic Dispersion Compensator for Chromatic and Polarization-Mode Dispersions in Optical Communication Systems

... with additive Gaussian ...dominant noise is optical noise (ASE). Due to the non-Gaussian nature of op- tical noise after nonlinear quadratic detection, the LMS is no ...

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International Journal of Computer Science and Mobile Computing

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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Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise

Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise

... standard non local (NL)-means algorithm on different search and patch windows sizes to obtain optimal parameters where the values of criteria peak signal-to-noise ratio (PSNR), mean absolute error (MAE), ...

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A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels

A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels

... of 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 ...

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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

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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Vol 2, No 10 (2014)

Vol 2, No 10 (2014)

... correct non-uniform illumination of ...random additive Gaussian noise while retaining as much as possible the important image ...random noise removal is to suppress the noise ...

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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)

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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Robust Parametric Modeling of Speech in Additive White 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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Frame By Frame Digital Video Denoising Using Multiplicative Noise Model

Frame By Frame Digital Video Denoising Using Multiplicative Noise Model

... Three 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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Types of noise (1) Gaussian Noise:-Additive noise is one of the most common problems in image processing. Even a high

Types of noise (1) Gaussian Noise:-Additive noise is one of the most common problems in image processing. Even a high

... Speckle Noise:-The speckle noise is commonly found in the ultrasound medical ...granular noise that inherently exists in and degrades the quality of the Active Radar and Synthetic Aperture Radar ...

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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain

Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain

... the noise standard deviation. Noise occurs when scanning the drawn image for making the cartoon ...the noise to the extent of the problem and it helps cartoon related noise ...of noise ...

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Compressive Modulation In Digital Communication Using QPSK

Compressive Modulation In Digital Communication Using QPSK

... to Noise ratio, cost, effectiveness and ease implementation, but one of the important parameter that is being chosen since from very long time is bandwidth ...

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Demosaicing and Sharpening of Color Filter Captured Images using Adaptive Transformation

Demosaicing and Sharpening of Color Filter Captured Images using Adaptive Transformation

... amplify noise as ...of noise, suited for dermatological images acquired with standard ...Next, noise and edges are distinguished based on statistical properties of their gradient ...and noise, ...

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Adaptive Wavelet Packet Decomposition for          Efficient Image Denoising By Using NeighSure
          Shrink Method

Adaptive Wavelet Packet Decomposition for Efficient Image Denoising By Using NeighSure Shrink Method

... by additive white Gaussian noise [2] is a common problem in image ...remove noise as far as possible as well as preserve ...the noise present in the image while preserving the image ...

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Mobile Radio Communications: Second and Third Generation Cellular and WATM Systems: 2nd

Mobile Radio Communications: Second and Third Generation Cellular and WATM Systems: 2nd

... Second Generation Third Generation Auto Correlation Advanced Communications Technology and Services Association of Radio Industries and Businesses Additive White Gaussian Noise Broadcast[r] ...

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Image volume denoising using a Fourier wavelet basis

Image volume denoising using a Fourier wavelet basis

... The use of multiresolution image representations in the re- storation of noisy images dates back to the late 1980’s [1], in which a statistical estimator based on a simple quadtree image model was used in smoothing ...

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Improved Non-Local Means Algorithm Based on Dimensionality Reduction

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 ...

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