noise modeling
Underwater Noise Modeling and Direction-Finding Based on Heteroscedastic Time Series
... signal modeling and parameter ...and noise modeling [10, ...for modeling non-Gaussian and non-stationary phenomena such as eco- nomic ...
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Realistic camera noise modeling with application to improved HDR synthesis
... camera modeling and estimation ...the noise modeling becomes significantly easier, since post-processing oper- ations, which severely affect the noise characteristics, ...
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Artificial neural network for traffic noise modeling
... traffic noise is considered one of the most invasive type of pollution and often the most intrusive of ...of noise pollution modelling varies from the smart result of classic regressive models to the ...
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Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals
... were noise- less, we could only have six linearly independent channels (three due to the maternal dipole and three due to the fetal), and any additional channel would be a linear combination of the ...
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Low Frequency Noise Modeling in Single- and Double-Gate MOSFETs
... TABLE OF CONTENTS Acknowledgements ii Abstract IV Table of Contents vi List of List of Tables x List of Publications xi Figures Chapter 1 - vii Introduction 1 1.1 Introduction 1 1 3 1 1 [r] ...
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Efficient Time Domain Signal and Noise FET Models for Millimetre Wave Applications
... Based on the active coupled line concept, a novel approach for efficient signal and noise modeling of millimeter-wave field-effect transistors is proposed. The distributed model considers the effect of wave ...
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Phase noise and jitter modeling for fractional-N PLLs
... phase noise is the most important perfor- mance criterion of the synthesizer for its stringent require- ment in many applications, ...phase noise is exacerbated in high-frequency applications, since the ...
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Noise Pollution around the Airport with Noise Exposure Forecasting Modeling
... the noise exposure level that use at IKIA airport and its surrounding areas is conducted using the noise exposure forecasting(NEF( modeling, The noise exposure forecasting modeling, as ...
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Robust adaptive estimators for nonlinear systems
... values noise covariance are introduced to these methods to examine their potential to extract the real ...adaptive noise algorithms was set to 20 time ...
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Time Domain Modeling of Powerline Impulsive Noise at Its Source
... global noise generator for PLC channel that will help designers of communication systems on this medium to better optimize their trans- mission parameters, a model that includes all classes at once and provides ...
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Mathematical Modeling For The Prediction Of Road Traffic Noise Levels In Tirupati Town
... traffic noise is major continents of environmental pollution and now it has become a permanent part of urban and sub-urban ...measuring noise pollution, enforcing regulation for noise emission ...
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A Graphical User Interface Implementation of Second Order Sigma Delta Analog to Digital Converter with Improved Performance Parameters
... Order low pass Sigma Delta analog to digital converter we can improve the resolution and signal to noise ratio as well as we can reduce the power consumption ase the ENOB. We have to take care of the Non like ...
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Symmetry: Modeling the Effects of Masking Noise, Axial Cueing and Salience
... One of the major functions of the visual system is to identify and localize objects in a visual scene. To achieve this, we can assume that the visual system is likely to have developed means of utilizing many kinds of ...
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Modeling of Noise Power Spectral Density Analysis for GaN/AlGaN HEMT
... In this paper, we developed electrical characteristics analytical model for the GaN/AlGaN HEMT. Using the dimensions and the parameters of developed HEMT, we have compared the I-V characteristics for the Nano meter gate ...
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Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
... Just as any other forecasting technique, the skill of radar- based nowcasting was found to depend on multiple factors such as the meteorological conditions, geographical location, spatial and temporal scales (e.g., ...
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edge_noise.pdf
... The algorithm was tested on 3 different image sequences, using both multimodal mean (MM) and Mixture of Gaussians (MOG) background modeling. The first image sequence is from the PETS 2000 dataset and it contains a ...
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Modeling and Analysis of Low Frequency Noise in Ion Field Effect Transistors Sensors
... In the last decade, Ion Sensitive Field Effect Transistors (ISFETs), originally introduced by Bergveld [1], have been under extensive study because of rapid response, small size, as well as applicability of semiconductor ...
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Modeling of non Gaussian colored noise and application in CR multi sensor networks
... non-Gaussian noise has been presented in many ...non-Gaussian noise [13, ...the noise and the PU signal cyclic frequency are also needed in the algorithm, which is diffi- cult in practical ...
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Stability analysis of high-order sigma-delta modulators
... A new method of analysis for Sigma-Delta modulators based on modeling the nonlinear quantizer with minimum mean square error linearized gains followed by an additive noise source represe[r] ...
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Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise
... impulse noise. This paper presents a two step method to remove impulse noise from digital ...the noise using S-shaped membership function where we find the extent of impulsiveness in more effective ...
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