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estimated noise

Denoising algorithm for the 3D depth map sequences based on multihypothesis motion estimation

Denoising algorithm for the 3D depth map sequences based on multihypothesis motion estimation

... locally estimated noise variance, we perform wavelet shrinkage of depth wavelet ...local noise variance is achieved by simultaneously changing thresholds for the depth and the ...the noise ...

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Noise Variance Estimation To Detect Forgery In Digital Images

Noise Variance Estimation To Detect Forgery In Digital Images

... The existing method has been experimented on the images taken from CASIA Tampered Image Detection Evaluation dataets , i.e. CASIA version 1.0 and CASIA version 2.0. The database contains both the forged and authentic ...

6

Estimating spot volatility with high-frequency financial data

Estimating spot volatility with high-frequency financial data

... microstructure noise (from significant first-order autocorrelation) and that the noise is dependent across time for 1-second high-frequency returns (because of non-zero higher-order ...The estimated ...

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Noise parameter estimation for non singleton fuzzy logic systems

Noise parameter estimation for non singleton fuzzy logic systems

... of noise sources, gaining insight into the level of noise becomes a critical part of many ...Therefore, noise studies are attracting considerable interest in terms of the accurate estimation and/or ...

6

Extraction of Imaging Sensors Temporal Noise Curve Through Segmentation of Non-uniform Targets and i
                 

Extraction of Imaging Sensors Temporal Noise Curve Through Segmentation of Non-uniform Targets and i  

... — Noise can severely damage the data contained in the ...these noise from digital images, firstly the nature of the noise is must be recognized, then it can be removed from the image either based on ...

8

Estimating spot volatility with high frequency financial data

Estimating spot volatility with high frequency financial data

... microstructure noise (from significant first-order autocorrelation) and that the noise is dependent across time for 1-second high-frequency returns (because of non-zero higher-order ...The estimated ...

61

A single channel speech enhancement technique exploiting human auditory masking properties

A single channel speech enhancement technique exploiting human auditory masking properties

... the noise power is esti- mated first using Optimal Smoothing and Minimum Statis- tics (OSMS) approach (Martin, 2001) with a very short win- ...the estimated noise ...OSMS noise power a VAD ...

5

PubMedCentral-PMC5124958.pdf

PubMedCentral-PMC5124958.pdf

... methods perform reorientation on the ODFs rather than diffusion signals. That is, a diffusion model is first fitted to the data to estimate the ODFs, which are then reorientated according to locally estimated ...

13

Properties of Single Voltage-gated Proton Channels in Human Eosinophils Estimated by Noise Analysis and by Direct Measurement

Properties of Single Voltage-gated Proton Channels in Human Eosinophils Estimated by Noise Analysis and by Direct Measurement

... A, and B are constants. In practice, estimates of m were in the range 0.7 to 1.4; noise of this type is generally described as 1/f (Neumcke, 1978; DeFelice, 1981). Various reduced models were then fitted by ...

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A Fuzzy Switching Filter for Enhancing Digital Images Corrupted by Impulse Noise

A Fuzzy Switching Filter for Enhancing Digital Images Corrupted by Impulse Noise

... of noise is one of the challengeable tasks in image ...the noise is additive and Gaussian ...impulse noise, these assumptions are not ...removing noise of impulsive ...

6

REAL TIME FACIAL EXPRESSION RECOGNITION IN THE PRESENCE OF ROTATION AND PARTIAL 
OCCLUSIONS

REAL TIME FACIAL EXPRESSION RECOGNITION IN THE PRESENCE OF ROTATION AND PARTIAL OCCLUSIONS

... Recently, there has been an increased tendency to use applications such as personal assistant and smart home devices with speech recognition technology [1]. In particular, they are controlled by a user’s voice without ...

10

b) Noise in the classes : It is given by the errors introduced

b) Noise in the classes : It is given by the errors introduced

... of noise in the classes, then to clean out the training set previous to the construction of the classifier improves its predictive ...of noise on the training ...the noise. Still the noise can ...

6

A Non Linear Filtering And Tracking Of A Ballistic Missile For Terminal Phase Interception

A Non Linear Filtering And Tracking Of A Ballistic Missile For Terminal Phase Interception

... Abstract— Tracking a ballistic missile in its reentry phase is one of the missile defence challenges as these reentry vehicles penetrate with large aerodynamic loads and sudden decelerations from exoatmospheric to ...

9

Article Description

Article Description

... Abstract––Mobile Wimax is a broadband wireless solution that enables the convergence of mobile and fixed broadband network, through a common wide area broadband radio access technology and flexible network architecture. ...

6

IGM constraints from the SDSS III/BOSS DR9 Lyα forest transmission probability distribution function

IGM constraints from the SDSS III/BOSS DR9 Lyα forest transmission probability distribution function

... inaccurate noise estimates in the standard pipeline, we first carried a custom co-addition of the individual exposures of each spectrum, using a probabilistic procedure that also separates out the signal and CCD ...

32

RSE box : an analysis and modelling package to study response times to multiple signals

RSE box : an analysis and modelling package to study response times to multiple signals

... the noise parameter η , which is underestimated in this simulation when synthetic data is contaminated with erroneous responses (the model does not predict violations of Miller’s bound for values of η equal to or ...

22

IEEE802.16 OFDMA, AMC, HARQ,

IEEE802.16 OFDMA, AMC, HARQ,

... plus Noise Ratio (SINR) in ...are estimated, according to assessment criterions, the system Performance on combination of different frequency reuse and AMC and HARQ are ...

6

Sparse Residual Learning of Deep Convolution Network for De Noising Patch Based Block Match Three Dimension Algorithm

Sparse Residual Learning of Deep Convolution Network for De Noising Patch Based Block Match Three Dimension Algorithm

... This paper incorporates Deep Convolution network with sparse residual, batch normalization and sparse coding for a patch based BM3D algorithm, here noise is estimated to be in a group as similar patches. De ...

8

Surface wave group velocity in the Osaka sedimentary basin, Japan, estimated using ambient noise cross correlation functions

Surface wave group velocity in the Osaka sedimentary basin, Japan, estimated using ambient noise cross correlation functions

... in the middle period range. One possible explanation for this discrepancy is that the accuracy of the velocity struc- ture was insufficient owing to the limited amount of infor- mation available for use in developing the ...

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Evaluation of O2PLS in Omics data integration

Evaluation of O2PLS in Omics data integration

... and noise components were ran- domly drawn from a normal distribution with zero ...and noise were chosen so that they would satisfy a noise level condition: the noise level α, the relative ...

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