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

In signal processing, white noise is a random signal with a flat (constant) power spectral density. In other words, it is a signal that contains equal power within any frequency band with a fixed width. The parameter μ in this formula is the mean or expectation of the distribution (and al...
  Matlab        Matlab     

Additive White gaussian noise ( AWGN) , Channel

How to create AWGN Channel in matlab. Very simple and lucid method, code is tagged  with comments  wherever it is required. Very wasy to understand. AWGN stands for Additive White gaussian Channel .  Additive white gaussian noise (AWGN) is a basic noise model use...
  Matlab        Matlab     

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....
  Matlab        Matlab     

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 reconstruction resolutio...
  Graph        C     

Colorhistogram

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...
  Matlab        Matlab     

Eliminarea gaussiana

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

noise estimation

image denoising algorithms often require their parameters to be adjusted according to the noise level. We propose a fast and reliable method for estimating image noise. The input image is assumed to be contaminated by an additive white gaussian noise process. To exclude structures or details fr...
  Windows        Matlab     

gaussian process regression

The program for gaussian processs regression and classification. Wonderful working programme. A simple one-dimensional regression exercise computed in two different ways: A noise-free case with a cubic correlation model A noisy case with a squared Euclidean cor...
  Matlab        Matlab     

gaussian Mixture Cardinalized Probability Hypothesis Density Filter

Particle filters or Sequential Monte Carlo (SMC) methods are a set of on-line posterior density estimation algorithms that estimate the posterior density of the state-space by directly implementing the Bayesian recursion equations. SMC methods use a grid-based appr...
  Matlab        Matlab     

histograma

programa que hace un histograma de una imagen  programa que hace un histograma de una imagen  programa que hace un histograma de una imagen  programa que hace un histograma de una imagen  programa que hace un histograma de una imagen  programa q...
  Algorithm        C#     

histogram Equalization

int main() { char infilename[20]; char outfilename[20]; Printf ("Please enter image name: n"); scanf("%s",infilename); if( ReadInfo(infilename) ) { if(histogram()) { Printf ("Please enter the output image name and. bmp over n"); scanf("%s",outfilename); WriteToFile(outfilename); } } e...
  图像处理        C     

histogram EQUALISATION OF AN IMAGE

Aim: To write MATLAB function forhistogram equalisation of an image using MATLAB function and without using MATLAB function Theory: The histogram of an image is a plot of the number of occurrences of gray levels in the image against the gray- level values. histogram equalization is a method in...
  Image Processing        Matlab     

Match histograms

Used to compare two histograms of input/query images.the histogram of a database image will be compared with the histogram of input image and if a match is found both the images are appended using the imappend command ..this can be helpful in comparing two images in american sign language recognitio...
  GUI        Matlab     

image histogram equalization

the code was developed by zhanghao at BJUT on 2013. this program is a example on image processing(image histogram equalization) by C. ...
  Image Processing        C     

Source code for gaussian model

gaussian dispersion model used Yu Junyi atmospheric conditions, as well as the flat, open areas on the ground, point source dispersion models. Chimneys emit large amounts of pollutants, monkey, vents and so on, although its size, but as long as the pollution problem is not discussed very close at th...
  Matlab        Matlab     

histogram equalization

histogram equalization code implemented in matlab  Very easy and smartly done code...
  Image Editing        Matlab     

histogram calclation

its a histogram calculation of image intensity by counting the which is having what intensity level ..the levels of intensity starts from zero to 256...
  Image Processing        Visual C++     

histogram Equalization

English histogram equalization is the image processing work to obtain a uniform distribution of the brightness of the image.  If it is a picture that has a low contrast , it is the process of improving the image brightness . Using cvEqualizeHist() function, the image was di...
  Image Processing        C     

state of the art histogram based features % such as: % Mean % Variance % Skewness % Kurtosis % Energy % Entropy

 This function is to obtain state of the art histogram based features % such as: %   Mean %   Variance %   Skewness %   Kurtosis %   Energy %   Entropy...
  Matlab        Matlab     

Webrtc ns (background noise removal) modules can be directly compiled, generated after you compile the dynamic libraries.

Webrtc ns (background noise removal) modules can be directly compiled, generated after you compile the dynamic libraries. Follow-up can be used directly in noise_suppression.h include directory and library libwebrtc_ns.so for testing....
  Algorithm        C     

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