Search gaussian noise histogram, 300 result(s) found

This is a 3D visualization of how the Expectation Maximization algorithm learns a gaussian Mixture Model for 3-dimensional data.

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstructi...

2012-10-25 05:52

Eliminarea gaussiana

Eliminarea gaussiana este o tehnica pentru reducerea sistemului Ax = b la un sistem superior triunghiular echivalent...

gaussian Mixture Model

gaussian Mixture Model matlab In statistics, a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set should identify the sub-population to which an individual observation belongs....

2013-11-26 10:14
by jeff


close all; clear all clc; I = imread('lavender.jpg'); imshow(I),figure I = im2double(I); [index,map] = rgb2ind(I); pixels = prod(size(index)); hsv = rgb2hsv(map); h = hsv(:,1); s = hsv(:,2); v = hsv(:,3); %Finds location of black and white pixels darks = find(v < .2)'; lights = find...

2013-11-24 02:30

Study of White gaussian noise and Computation of its statistical parameters using Matlab,study

In signal processing, white noiseis a random signal with a flat (constant) power spectral density. In otherwords, it is a signal that contains equal power within any frequency band witha fixed width.The parameter μ in this formula is the mean orexpectation of the distribution (and also its median a...

2014-04-08 06:16

gaussian noise pulses

H.264 introduces two new features to ME, the VBSME and the sub-pixel accuracy motion estimation. The VBSME is carried out in two phases: integer motion estimation (IME) and fractional motion estimation (FME). In H.264, VP8 and other video codec, a 1616 sized macro-block can be further partitio...

2014-09-25 10:12

MATLAB-based research on time-frequency characteristics of two-dimensional gaussian low-pass filter and its application to mimic the point spread function (PSF:point spread function) in the application of image degradation modeling

Use fspecial Function to generate a two-dimensional gaussian Low-pass filter, drawing its time-domain and  frequency-domain one, two and three dimensional graphics, understanding gaussian The temporal characteristics  of the filter ( PSF Model) and frequency-domain characterist...

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