gaussian noise

Higher-order cumulants was used to diagnose gearbox fault for it was insensitive to add-Gaussian noise and symmetry noise.

The algorithm is not dependent upon the modulation type of signal, and can be employed to additive arbitrary Gaussian noise.

The engineering signal is always disturbed by Gaussian noise and non-Gaussian noise.

While effectively removing the impulse noise, removing Gaussian noise as well.

Practically, digitally modulated signals are often corrupted by noise (white Gaussian noise).

The denoising of a natural image corrupted by Gaussian noise is a classical problem in image processing.

Additionally, it is not necessary to deal with arbitrary Gaussian noise environment since it is based on the fourth-order cumulants.

Signals corrupted by deterministic interference and white Gaussian noise are common in various engineering applications.

The method uses the Anscombe's transformation to adjust the original image to a Gaussian noise model.

Its performances in the additive white Gaussian noise (AWGN) channel and the dispersive channel are investigated, respectively.

The simplest, yet very useful method for detecting a known deterministic signal in additive Gaussian noise is matched filter( MF ).

We proposed a novel approach for estimating the variance of Gaussian noise in images with entropy inspection in wavelet domain.

Simulation environment: additive white Gaussian noise channel.

This algorithm is applicable to restore the Gaussian noise and random pulse noise mixed pollution digital images.

A particle filtering (PF) method is utilized to identify a nonlinear structural system with non-Gaussian noise.

Higher-order spectrum has the powerful noise immunization capability, and can remove the Gaussian noise entirely in theory.

This paper compares the BER performances of them for white Gaussian noise channel theoretically.

Using the elaborately defined fourth order cumulants, two methods of harmonic retrieval in coloured non Gaussian noise are proposed.

Two noise models can adequately represent most noise added to images: Gaussian noise and impulse noise.

This paper deals with the detection of weak transient signal buried in non-Gaussian noise.

Linear filtering additive Gaussian noise has a good smoothing effect.

Because fourth-order statistics can restain the gaussian noise, the method has high stability in noise conditions.

In this text, we aim at wavelet denoising method of image corrupted by non-spatially stationary additive white Gaussian noise (AWGN).

Channel multi-path channel (simulation 2 diameter), channel noise is additive white Gaussian noise.

Compared with Gaussian noise, the even white noise has stronger SR behavior.

This paper researches the primary user's detection based on cyclostationary characteristic in non-Gaussian noise.

A novel image texture feature descriptor is proposed which is insensitive to Gaussian blur and Gaussian noise.

Find (or develop) a program to add Gaussian noise to an image.

Add Gaussian noise of 0 mean and variance of 10 pixels to the blurred image.

It is invariant with respect to difference of amplitude and phase, and it can suppresses white additive Gaussian noise.

There are many kinds of noise in images, mostly are impulse and Gaussian noise.

Quadratic nonlinear coupling analyse of two-dimensional harmonics in Gaussian noise with quaternion and hypercomplex

Authentication Center Authentication Vector Availability Status Additional White Gaussian Noise

Digital watermarking capacity and its optimization in Gaussian noise channels

Two Better Methods for Estimating Frequency of a Single Complex Sinusoid in White Gaussian Noise

Stochastic Resonance in a Threshold System for Generalized Gaussian Noise

High Resolution Frequency Estimation of Differential Frequency Hopping Signal in Gaussian Noise

Study of the Linear Filtering to Gaussian Noise

Detection of adaptive latency change of evoked potentials under Gaussian noise conditions

Two-dimensional harmonics frequency estimation in additive gaussian noise background based on quaternion and hypercomplex

Cumulant Projection Method For Harmonic Retrieval in Colored Non-Gaussian Noise

Cumulant Projection Method for Two-Dimentional Harmonics Frequency Estimation in Colored Non-Gaussian Noise

Regional information-based approach for removing Gaussian noise on images

Research of Performance Improvement of LDPC Coding and Decoding in Non -gaussian Noise

Research into and Implementation of White Gaussian Noise Producing

Maximum Likelihood Detection for Sampled PPM Signals in White Gaussian Noise

Study on signal detection method in non-gaussian noise using higher-order statistics

A New Method for Frequency Estimation of Single Complex Sinusoid in White Gaussian Noise

The Simulation of Checking Duality Signals with White Gaussian Noise Using Plenitude Statistic Method Based on MATLAB

Blind Estimation of Parameters in Gaussian Noise

Image processing of Gaussian noise and impulse noise

Effects of white Gaussian noise on the tumor cell growth system

DCT- domain watermarking technique based on the additive non- gaussian noise channel model

Application of MAP estimation based on Gaussian Markov random field in gaussian noise filter

The Signal Structure Analysis of Non-Gaussian Noise Based on Wavelet Packet Transform

Estimation of white Gaussian noise in low-field pulse NMR based on wavelet transform

A New Gaussian Noise Filter Based on Interval Type-2 Fuzzy Logic System