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noise models

REVIEW AND ANALYSIS OF VARIOUS CATEGORIES OF NOISE AND CORRESPONDING NOISE MODELS FOR PROCESSING DIGITAL IMAGES

REVIEW AND ANALYSIS OF VARIOUS CATEGORIES OF NOISE AND CORRESPONDING NOISE MODELS FOR PROCESSING DIGITAL IMAGES

... the noise or the unwanted background ...of noise, Gaussian Noise, Laplacian Noise ...of noise that can be present in the image and the corresponding noise ...

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Importance of noise models in FSO communications

Importance of noise models in FSO communications

... signal-independent Gaussian noise (SIGN) distribution. We investigate the use of on-off keying (OOK) and low density parity check (LDPC) code on the performance of a FSO communication system. We also provide a ...

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Causal Discovery with Continuous Additive Noise Models

Causal Discovery with Continuous Additive Noise Models

... additive noise models, the causal graph can be inferred from the joint ...equation models rather than graphical models made it easier to state and exploit the assumption of additive ...

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Stable distributions as noise models for molecular communication

Stable distributions as noise models for molecular communication

... the noise terms in our channels in terms of the complex error function and Voigt functions [22], which are used in other fields of science such as ...stable-distributed noise densities and distribution ...

7

Squibs: From Annotator Agreement to Noise Models

Squibs: From Annotator Agreement to Noise Models

... of noise is an active research area in machine ...annotation noise is different from existing well-understood noise ...classification noise, where each instance has the same probability of ...

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Noise Models and De-noising Techniques:A Review

Noise Models and De-noising Techniques:A Review

... of noise theory, we start with noise and the role of noise in signal ...distortion. Noise is a random signal and is characterized by its mean and standard ...of noise are additive ...

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Title: A Comparative Review Paper for Noise Models and Image Restoration Techniques

Title: A Comparative Review Paper for Noise Models and Image Restoration Techniques

... eliminating noise and blur from image, since image blur is very difficult to avoid in certain situations such as in photography, radar imaging to remove the effect of image system response ...etc. Noise is ...

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Instrument data simulations for GRACE Follow-on: observation and noise models

Instrument data simulations for GRACE Follow-on: observation and noise models

... instrument noise models given in terms of ...random noise gen- erator method (Franklin, 1965) to generate arbitrarily long time series with a prescribed spectral ...

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Review on various noise models and image restoration techniques

Review on various noise models and image restoration techniques

... Real time pictures evidence some amount of degradation depending on the type of camera and settings used to capture the images of scene, external environment, and the relative motion amount between camera and object, are ...

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A comparative analysis of image denoising problem: noise models, denoising filters and applications

A comparative analysis of image denoising problem: noise models, denoising filters and applications

... remove noise present in the medical and ultrasound images, since the information about the variance of the noise may not be able to ...various noise and noise suppression filters for instance ...

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Robust to Noise Models in Natural Language Processing Tasks

Robust to Noise Models in Natural Language Processing Tasks

... be noise in original text. Such noise is a widely known issue and to mitigate its pres- ence there were developed spelling correcting sys- tems, ...handle noise i.e. to make models themselves ...

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Review of Oscillator Phase Noise Models

Review of Oscillator Phase Noise Models

... phase noise. Phase noise and timing jitter are two equivalent definitions of oscillator’s short term frequency ...Phase noise is viewed as frequency domain counterpart of timing jitter and has ...

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Airport noise modelling for strategic environmental impact assessment of aviation

Airport noise modelling for strategic environmental impact assessment of aviation

... where noise, air quality and carbon release are ...airport noise models are required to overcome the important input data requirements and computation complexity of detailed airport noise ...

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Development of Noise Prediction Models Using GIS for Chennai City

Development of Noise Prediction Models Using GIS for Chennai City

... traffic noise model based on the traffic conditions of Iranian cities [4]. Noise levels and other variables have been measured in 282 samples to develop a statistical regression model based on A-weighted ...

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The role of ITS in noise mapping and noise action planning.

The role of ITS in noise mapping and noise action planning.

... of Noise in the Environment), an EU-6th Framework project (5), will expand on the noise calculation methods for road and rail developed in the HARMONOISE project (Harmonised, Accurate and Reliable Methods ...

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A Comparative Study of the Robustness of Voting Systems Under Various Models of Noise

A Comparative Study of the Robustness of Voting Systems Under Various Models of Noise

... We originally intended to investigate two different forms of noise: both the arbitrary reordering use throughout the work above, and also suppression. The concept of suppression is simply when an entire vote is ...

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Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis

Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis

... Certain sensors, such as CMOS-based sensors, are prone to low frequency effects, such as 1/f noise, while chemical sen- sors are often subject to poisoning with time, which adversely affects their sensitivity. The ...

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Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

... in noise- contrastive estimation. For noise-contrastive estimation, the parameter ν controls the trade-off be- tween computational and statistical performance; for contrastive and persistent contrastive ...

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Detection of bright and dim colours by honeybees

Detection of bright and dim colours by honeybees

... the models, except by the Maxwell triangle and the GCO ...linear models are not ...(RN models; Vorobyev et ...different models and our experimental results for different target background ...

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Investigation of Different Input Noise Types in Linear and Nonlinear Stochastic Neural Models.

Investigation of Different Input Noise Types in Linear and Nonlinear Stochastic Neural Models.

... Next we want to examine the shape changes of the histograms as indicated by moment plots of excess, skewness and coefficient of variation (CV) as the parameter u is varied in the one- (Figure 35) and two-compartment ...

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