Gaussian

In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits.

Transform it a little bit to make the shadow bigger than the original shape and apply the Gaussian Blur filter twice.

A smoothness of 0 has no effect, 1 and above determine the Gaussian blur matrix radius that determines how much to blur the image.

Place the indicated layer lower than the basic stones'layer and blur it out with Filter -Blur -Gaussian Blur.

The Gaussian cupola created the sort of financial alchemy that made high-risk mortgages and credit card debt look like triple-A rated gold.

Due to the CPM effect between the probe light and the pump pulse, a pair of polarity-reversed Gaussian pulses is produced.

In particular, the Gaussian curvature is invariant under isometric deformations of the surface.

On the measurement of a simple coordinate transformation of small procedures, can be both positive and negative Gaussian operator.

A fine granularity dynamic single pixel template algorithm is proposed to resolve blur problem of image rotated by Gaussian template.

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

The far-field anomalous spectral behaviors of a Gaussian pulsed beam passing through a linear circular apertures array are studied.

There are reports that Yi Keli independent Gaussian Yiwa ready to discuss civilian members to form a coalition government.

GMM proposed in tends to describe a background pixel using a mixture of K Gaussian distributions.

Gaussian mixture model(GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.

Gaussian mirror has been used widely, and the super Gaussian mirror is a development for variable reflective mirror.

This phenomenon can be explained by the spatial self-phase modulation of the Gaussian beam passing through the nonlinear medium.

In practice, system state is always characterized by nonlinear, non Gaussian and incompletely observed.

Additional information can be found at the General Gaussian Web site.

Gaussian mixture model is firstly built as the statistical model for the intensity image, with an estimation of index number using MDL.

Partially coherent Gaussian beams which can be expanded into an independent superposition of Hermite-Gaussian modes have been analyzed.

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

Gaussian fitting algorithm is proved to be the best peak-detection algorithm by theory, simulation and experiment.

The current distributions on conducting straight wire and a circular loop excited by a Gaussian pulse are computed.

The only filter I used here is Gaussian Blur which I used to create the shade applied to the black oval shape.

High accuracy is achieved by using a few terms of Laguerre-Gaussian series to approximate the transverse field in the single mode fiber.

Effect of spatial coherence on radiation pressure and a pulsed Gaussian acting on a Rayleigh dielectric sphere was mentioned.

A device widely used with GTO basis functions is that of a contracted Gaussian set.

The method of speckles displacement, a new attempt to test characters of space distribution of laser Gaussian beam, is presented.

We show here that the experimental intensity profile of the scattered beam can be described as Gaussian in form to a high level of accuracy.

By means of multi-Gaussian beams produced from the cavity, a simplified model of calculation of combination is presented.

Experiments show that the Gaussian mixture PHD filter can be used to track multi-target in clutter effectively.

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

With the non-linear and non-Gaussian merits, Particle Filtering (PF) is applied to reckon the road shape and vehicle state recursively.

Moreover, a good beam quality with Gaussian spatial profile and a linear polarization state are obtained.

Taking the incidence of Gaussian beam as an example, the characteristics and application situations of each model are analyzed in detail.

Finally, use Gaussian mixture model to determine the region whether it's hair region or not.

The theoretical result is illustrated with numerical examples of Gaussian beams passing through a spatial filter.

In element design, strain gradient terms were obtained by using numerical integration of a cell constructing around a Gaussian point.

To confirm the validity of our conclusions, we use both Gaussian beams and COMSOL Multiphysics software to simulate our theoretical results.

The main contributions of this dissertation are as follow. 1. The Gaussian approximation model for coherently distributed source is studied.

The statistics of image wavelet coefficients is non-Gaussian and can be described by generalized Gaussian distribution (GGD).

Firstly, the welding temperature field was calculated using elliptical surface Gaussian distributions as the input heat source.

Analyzed the technique of homodyne detection for Gaussian-modulated coherent states. The best effect was balance homodyne detection.

The dynamics of the system when the random variables satisfy the Gaussian and double-Gaussian disorder are studied.

We present a theoretical study of coincidence imaging and interference with coherent Gaussian beams.

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

In this paper, Gaussian curvature was used to define the energy function on image, and then the Euler equation was obtained.

When drive system is in fault, the measured vibration signals are non-stationary and non-Gaussian and usually it contains strong noise.

Simulations show that the new filter is far better than EKF in nonlinear and non-Gaussian systems.

The transversal intensity of the first order Bessel-Gaussian beams could be changed by the spherical aberration.

The propagation properties of elliptical Hermite-Gaussian light beam in a strongly nonlocal nonlinear medium are studied.

Gaussian Mixture Model assumes the independence between data while Hidden Markov Model allows Markov assumption in a data series.

With the aid of phase diagram, variations of parameters of Gaussian beams have been analyzed for different initial parameters.

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

The waveform of UWB signals can be reconstructed by convolving the estimated impulse signals with Gaussian monocycle.

The distance between the near Gaussian apices is controlled accurately by controlling accurately the divergence of LD.

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

Neither serum AFP nor serum CEA values conformed to a Gaussian distribution. But both of them were log-normally distributed.

This paper analyzes the Bayesian theory and its development in detail, focusing on the nonlinear or non-Gaussian problems.

The Gaussian filter has been shown to have unique characteristics which preserve the integrity of the data.

For the Gaussian Process models, a rigorous statistical method is adopted to evaluation the landslide potential and important features.

In this research, we extend the Gaussian-Polynomial Approximation Model with operation temperature as the parameter.

Researchers previously used by the majority of the partially coherent light are Gaussian - Shell model beam.

With the intensity distribution function of Gaussian beam, the lateral and axial resolution expressions were deduced.

The focusing characteristics of Gaussian beam passing through the maladjusted telescope optic system are studied.

We give the basic theory of frequency filtering. In the frequency domain, the work focuses on the adaptive Gaussian frequency filter.

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

A two-dimensional (2-D) histogram is computed with the two principal components and then smoothed with a Gaussian low-pass filter.

The propagation properties of coherent and incoherent flattened Gaussian beams have been studied in detail.

In the case of Gaussian type of pump light, it is found that the instability will decrease when the cavity length decreases.

Numerical experiments demonstrate that the mixed Gaussian process model is efficient in functional data analysis.

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

During the process, noise model is built by Gaussian statistics algorithm, which can extract moving object contour accurately and quickly.

Resonance of longitudinal radiation force for eccentric sphere illuminated by Gaussian beam is numerically simulated and analyzed.

Higher-Order Spectra is an advancing research aspect in signal processing field, which is the main tool for analyzing non-Gaussian signals.

Once a suitable mask has been calculated, the Gaussian smoothing can be performed using standard convolution methods.

In this paper, the wavelet transform of a modulation Gaussian function is introduced.

However, the wavelength periodicity elapses gradually when the individual sections length follows Gaussian distribution.

The ordinary methods of feature extraction usually hypothesize the vibration signals have the characters of stationary and Gaussian.

After investigating the propagation property of Gaussian beam, the appropriate parameters of lens coupling system is selected.

A new approach for decreasing the amplitude characteristic deviation of Gaussian filter in surface roughness measurements is presented.

Furthermore, the gain spectra have been restrained by Gaussian apodization function.

The initial background is established using the traditional Gaussian mixture model with a global learning rate.

The original energy distribution of a laser beam is Gaussian distribution.

To adapt to changes in object appearance, an online expectation maximization (EM) algorithm is developed to update the Gaussian parameters.

In simulation, as phase corrector of system, the deformable mirror's influence function generally was used with the Gaussian function.

A multi-step clustering algorithm with transformation-based and diagonal-covariance Gaussian mixture model (GMM) is advanced.

This paper studies the movement estimation of the high resolution radar signal with additional Gaussian color noise.

Also, multi-dimensional fuzzy membership functions with Gaussian and Bell profiles are proposed for classification.

The results indicate that the continuous phase type zone plate can focus Gaussian beam with high diffraction efficiency.

It is shown that the intensity distribution will recover to Gaussian distribution after propagating a certain distance.

Different from the traditional Gaussian beam, there is no generous definition for vortex beam after propagation.

This paper proposes a new textured image segmentation algorithm which integrates wavelet transform and Gaussian mixture models.

For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.

Our model consists of three parts: pretreatment of grid, Gaussian models selection, and coordinate transformation.

Utilizing a new truncated gaussian beam, maximum smoothness and minimal thermal effect are the goals.

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

This paper introduced three skin-color detecting model: Statistical Color Model, Chroma Space Model and Gaussian Mixture Model.

Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.

Inflation tells us that the amplitudes of all the modes should have Gaussian distributions of very nearly the same width.

In this thesis the phase instability of binary Gaussian core model has been investigated with the type of the phase instability be chara.

Light born through the SGSA can be iran formed into almost ideal super-Gaussian them after pessins the spatial filter.

non-Gaussian model reveals that the Gaussian structural time series method is robust for seasonal adjustment.

Therefore, the base transverse mode Gaussian beam is more widely used in the actual production and scientific research.

Theory analysis and simulation of gaussian white noise jamming show the efficiency of the proposed me. . .

And these evolutions relate to the shape and frequency chirp of the incident super-Gaussian optical pulse.

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

The localization error in the detected edges also increases slightly as the Gaussian width is increased.

Firstly, a fractional-order differential of Gaussian distribution is obtained with the proposed filter.

The conventional assumption that stock markets behave according to a random Gaussian or normal distribution is incorrect.

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

Besides, estimation accuracy of phase and amplitude under Gaussian also be studied using the same method.

We analyze the influence of thick Kerr medium on the propagation of Gaussian beam and Laguerre-Gaussian beam by variational approach.

In this structure, the Gaussian mode could be transferred to the ring mode. So FEPCF could used as a mode convertor.

Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

In chapter 3, the partially polarized Gaussian Schell-model beam is introduced and its tensor description is presented.

The weak signals of ship are analyzed by means of higher order spectral technique based on Non Gaussian AR model.

The effect of Gaussian Mixture Model used in training background model is good, but its convergence velocity is low.

The influences of the resonator output mirror and the thermal lens effect on Gaussian beam divergence angles were analyzed.

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

The intrinsic pose structure and silhouette are then deduced from these coordinates using a Gaussian process.

Following that the Gaussian noises are filtered out by symmetrical-neighbor mean filtering.

Simulation environment: additive white Gaussian noise channel.

Under additive Gaussian white noise environment, signal model of polynomial-phase signal is presented.

A simple method has also been proposed to produce Cosh-Gaussian beams in the laboratory.

We can even make a selection on the Smart Object and apply a Gaussian Blur effect to it. And yes, you can use masking on it as well!

Finally, the attack capacity of Gaussian cloning attack and amplifying channel attack is analyzed and compared.

Focal depth of hyperbolic -cosine-Gaussian beams induced by a phase plate was investigated.

When the financial time series is Gaussian distribution, the two methods of selection time delay will have the same result.

In the present paper, the reliability of quasi- integrable -Hamiltonian systems under Gaussian white noises is investigated.

This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.

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

In this paper, we simulate multi-scale models of targets through Gaussian pyramid, and then establish multiple BP nets of targets.

In the true PSF, a Gaussian filter , the maximum values are at the center (white) and diminish at the borders (black).

Recently, a new class of partially coherent beam called partially polarized Gaussian Schell-model beam is put forward.

RasterConvolverBlurs a raster with a Gaussian operator.

We use the fixed-arithmetician DSP chip ( chipboard ) in the DSP, the algorithm of recognition is Gaussian mixture model.

But the actual signals which we get in practise usually are non-stationary and non-Gaussian distribution, specially when the fault occurs.

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

Draw a Grey (#3B4046) circle in the middle, then apply a Gaussian Blur to it with a radius of 3px .

The Gaussian beam method is ane? cient approximation method that allows accurate computation of the wave around caustics.

Therefore, the PF method has great robust ability. It is suitable to nonlinear non-Gaussian structural parameter estimation.

The influence of the third-order dispersion on the propagation properties of optical gaussian-shaped pulses in optical fibers is discussed.

The resulting sparse banded unsymmetric set of equations is solved by using the Gaussian elimination.

At certain coupling times, the probability distribution function is Gaussian.

Gaussian beam propagation through complicated optical systems is studied in detail by using matrix optics method.

An algorithm for the dispersion area calculation area of Gaussian plume model is put forward in the paper.

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

Combining the fixed model and the adaptive Gaussian model could produce the final skin color model for skin color segmentation.

Then, built the color model for background and foreground utilizing the GMM (Gaussian mixture model).

The most popular model for pricing Synthetic Collateralized Debt Obligation (SCDO) is One Factor Gaussian Copula model.

To deal with the pedestrians tracking problem in video surveillance, an algorithm based on Gaussian probability is proposed.

But the numerous man-made and natural noises in many communication channels are non-Gaussian and impulsive.

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

This paper proposes a special algorithm for filtering out both Gaussian and impulse noises in color images.

If you own an older version of Photoshop, a Gaussian Blur will do it too, but color blending will occur on the edges.

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.

An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.

The other is neural network control system using Gaussian potential function network.

Gaussian grids and variable resolution ocean model grids are directly supported.

DeNoise: Noise reduction plugin using a modified Gaussian blur algorithm.

The formulae are applicable to stationary Gaussian random excitation.

Finally, a novel method is presented to estimate the parameters of Gaussian distribution.

Axial superresolution effects of super Gaussian phase filters are studied in detail.

Gaussian blur creates the soft, blurry look while Motion blur creates the impression of movement.

According to the requirement of beam smoothing in laser systems, the continuous phase plate with Gaussian distribution is designed.

Particle filter is widely used because of its flexibility to deal with the nonlinear non-Gaussian systems.

The classification effect of Polynomial kernel function is also contracted with Gaussian RBF kernel function.

Nowdraw an ellipse (#691E1B) above the "Pattern 1" layer, name it "Light, " and Apply a Gaussian Blur to it with a 50 pixels radius.

An efficient video moving object detection algorithm based on the entropy power and Generalized Gaussian Distribution (GGD) is proposed.

Finally, a Gaussian transfer function is designed for high-quality rendering.

Its denoising results are better to Gaussian pure, pure impulse noise and their mixture.

The relevant optimum threshold is given under the condition that the input noise is additive white Gaussian.

The propagation properties of ultra-short pulsed elliptical Gaussian beams are investigated in detail through an example.

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

With the simplified equation, the expression of received beam has been achieved for Gaussian beam.

If use uniform variation and variation of Gaussian replacement may get better effect.

Based on the simulated Doppler weather radar signals, we describe the filtering process of the adaptive Gaussian frequency filter.

The Non-Gaussian one is used to improve the control accuracy and phase estimation under noise disturbance.

Processing. Additionally, because the laser energy is a Gaussian curve, exist from light Center to the edge of the decline, the dot.

Furthermore, a hybrid system of Support Vector Machine (SVM) and Gaussian Mixed Model (GMM) is introduced.

Textile images were enhanced by using mean filter and gaussian filter with different templates.

Absrtact: Stochastic resonance in multi-threshold systems is studied for Gaussian mixture noises.

Linear filtering additive Gaussian noise has a good smoothing effect.

Among these methods, Mixture of Gaussian may be the most wildly used one.

The analytical solution of ultra-short pulsed elliptical Gaussian beams in free space is obtained based on the Fourier transform technique.

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

Based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.

In the formula, and are narrowband white Gaussian noises respectively.

Eventually Gaussian model and API model are adopted to figure out the harzard scope and results of co. . .

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

Gaussian filter to do the first image convolution, linear filtering, support for alternative operating.

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

The Gaussian mask used in my implementation is shown below.

A model of an annular flat-topped vortex beam based on multi-Gaussian superimposition is proposed.

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

Use 10% for the Amount, Gaussian for the Distribution and select Monochromatic.

According to the ABCD matrix of Gaussian beam's propagation, a Z-type cavity insensitive to thermal lens effect is designed.

Then apply a Gaussian blur for blending both the colors and also remove the between line.

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

Aim To simulate correlated Gaussian radar clutters.

While the traditional Gaussian Filter can reduce image noise; it may also blur image edges.

As for detector noise, we simulate it as Gaussian Whitenoise, referring to the instrument parameters of 21CMA and LOFAR.

Now we add a Gaussian blur to the petal to give the shine map a nice glossy shimmer.

The three Frames subtraction and the background subtraction of Gaussian mixture model are researched.

Gaussian mixture model (GMM) is first trained for grass pixel, the grass distribution is then computed based on the trained GMM.

In the new color space, the skin color model is established using Gaussian model.

Click on "Filter, " "Add Noise" and set noise to 1%, "Gaussian" and "Monochromatic. "

This paper presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.

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

A new approach for shadow detection and elimination based on color invariants and Gaussian shadow model is presented in this paper.

The formula in question is the so-called Gaussian copula function.

The Gaussian curvature of an embedded smooth surface in R 3 is invariant under the local isometries.

Usually, the bigger the scan, or the bigger the skin area, requires a higher gaussian blur setting.

The theory for generating Gaussian beam for calculating 2-D rough surface scattering is then given.

Select also for blurring Filter -Blur -Gaussian Blur.

The ACAS is a two dimensional gaussian plume segment model .

Use the gaussian blur again with a high value, according to the image on the left.

The adopted MRF family is the so-called Gaussian-MRF (GMRF), whose energy function is quadratic.

So they have better performance than adaptive Gaussian kernel.

This paper proposed an improved moving objects detection method based on Gaussian mixture model.

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

The optical wave scattering from one-dimensional (1D) lossy dielectric Gaussian random rough surface is studied.

Like hua luogeng, gaussian such mathematical genius, I greatly admire, they are my study example.

The results show that the potential of slope failure over large area can not be satisfactorily produced from the Gaussian process.

It will be useful to summarize the relevant Gaussian formulae.

Gaussian blur selected bitmap(s).

Linear signal processing based on Gaussian distribution assumption is prevalent in the field of signal processing.

Image rotated by Gaussian template will become blur seriously, which is because of weighed average of luminance in a large adjacent region.

A wavelet denoising method based on the normal inverse Gaussian prior (NIG) has been proposed in this paper.

There are many defects in the Gaussian model, which is used to describe the far-field distribution of semiconductor lasers.

When the Gaussian kernel function width is 2. 0, RVM method possesses more perfect prediction performance.

Then add a Gaussian blur filter to the layer.

Finally, apply a 0. 6 pixel Gaussian Blur to the Adjustment Curve Layer Mask to soften the hard edges.

In order to obtain a sharp cutoff of the pentadiagonal filters, a modified Gaussian function is introduced.

Add a 400% Gaussian Monochromatic Noise.

Then, the different kinds of zones are smoothed with Gaussian functions with different variance.

And because the Gaussian filter can be computed using a simple mask, it is used exclusively in the Canny algorithm.

MSK GMSK modulation that is before the first signal through the Gaussian pre-filtering low-pass filter, and then to MSK modulation.

A Gaussian Mixture Model based on color feature is adopted in static layer.

by Brinkman et al [3] to modify the original Gaussian filter.

The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and Gaussian mixture models.

The medical clusting method based on double gaussian mixture mode is proposed.

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

Gaussian template is used to smooth the digital images in order to get better accuracy.

2D Gaussian filter based on local fringe rates estimation is proposed.

In the post, add 1 or 2 spot of the Gaussian blur, and then add one noise.

Fill (G) the rectangle with the color black ( #000000 ) then apply a 2 to 3px Gaussian blur.

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