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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     

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     

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     

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     

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     

The denoised image by iterative steering kernel regression

The denoised image by iterative steering kernel regression A film grain removal example by iterative steering kernel regression pilot estimation by second order classic kernel regression iteartive steering kernel regression (second order)...
  Matlab        Matlab     

ADC noise cancel out subrotiue in C for ARM (LPC1768)

LPC 1768 has got an internal ADC. Depending on pcb design its output contains noise. By a few polling ADC read sequence it discovered that noisy output dose not repeat after the other noisy output, based on this idea instead of one read action, 3 times repeatedly reading action will be done, then...
  Arm        C     

noise.cancellation.using LMS.algorithm

noise.cancellation.using LMS.algorithm LMS Algorithm Implementation ... lms.m. clc close all clear all N=input('length of sequence N = '); t=[0:N-1]; w0=0.001; ......
  Matlab        Matlab     

noise Reduction using MATLAB wavelet toolbox

the basic of noise reduction using wavelet by 1) First define the time interval K and angular frequency W. 2) Define a variable H which represents the argument of sine function , 3) Read audio signal using WAVREAD command and define it x. obtain x1 in terms of vector form of x .sampl...
  Matlab        Matlab     

code for noise using matlab

Code for noise addition during modullation function x = bpsk( ip , N , Eb_N0_dB) %N = 10 % number of bits or symbols % Transmitter %ip = [0 1 0 1 0 1 0 1 0 1] % generating 0,1 with equal probability s = 2*ip-1 % BPSK modulation 0 -> -1; 1 -> 1 n = 1/...
  Matlab        Matlab     

20M gaussian channel

Program description: 1. Using 2 preamble sequences for time synchronization, but it must be under high signal-to-noise ratio, reference SNR for 30dB; see later for further optimization; 2. Realization of overcharge cases through the AWGN channel phase compensation for the...
  Algorithm        C     

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