Brown Noise Sample

The MATLAB program simulates binary phase shift keying (BPSK) at baseband through Monte Carlo method. The goal is to simulate bit error rate (BER) over an additive white Gaussian noise (AWGN) channel. For realizing that, the effect of noise is represented in the baseband with Gaussian random...

Unlike all other posted DTMF programs, my application is specifically designed to simulate the working of a real DSP processor especially for beginners.That would mean that digital oscillator was used to create sine and cosine functions and signal is passed through 8 filters. The signal is...

LLR_DEMOD LLR Demodulator H = LLR_DEMOD_MEX(CONSTELLATION, MAPPING, METHOD) constructs a LLR demodulator object H for a given constellation, mapping and noise variance. The vectors CONSTELLATION and MAPPING are usually generated by using MATLAB Modem Modulation Modem. and contain the complex or...


Platforms: Matlab

This function can be used for adding different kind of impulse noises (i.e. Salt & Pepper noise and Random-value impulse noise) to image.Salt & Pepper Noise values are 0 or 255 but random-value impulse noise values vary from 0 to 255.website : http://kannan.keizer.googlepages.com


Platforms: Matlab

The file calculates and plots FM noise sidebands for a carrier. It also does sinusoidal modulation. This simple way of adding noise to a carrier is useful for simulation of PLLs. It turns out, though, that the mean of the randn function is not as close to zero as it could be, and this causes the...


Platforms: Matlab

Usage:Jitter = Pn2Jitter(f, Lf, fc)Inputs:f: Frequency vector (phase noise break points), in Hz, row or column.Lf: Phase noise vector, in dBc/Hz, same dimensions, size(), as f.fc: Carrier frequency, in Hz, a scalar.Output:Jitter: RMS jitter, in seconds.Phase noise data can be derived from...


Platforms: Matlab

The purpose of this tutorial is to illustrate the usage of Kalman Filter by a simple example.The problem: Predict the position and velocity of a moving train 2 seconds ahead, having noisy measurements of its positions along the previous 10 seconds (10 samples a second).Ground truth: The train is...


Platforms: Matlab

Used on cellular phones to filter outbackground noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

This simple simulation shows the implementation of FxLMS algorithm for a single channel feed-forward active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.The...


Platforms: Matlab

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides...


Platforms: Matlab

This user interface allows a user to load some Affymetrix data in an Excel file and perform some basic operations on it - log transform, log ratio, normalization, noise reduction, filtering, PCA and clustering, in addition to some visualizations like profile plots, boxplots and matrix...


Platforms: Matlab

This simple simulation shows the implementation of FbLMS algorithm for a single channel feedback active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.FbLMS...


Platforms: Matlab

The characterisation of the downsampler block can be done by the formula:y(n)=x(nM)Syntax:[y ny]=downsampler(x,n,M)x is an input sequence over indices specified by n.L is the downsampling rate.It ignores (M-1) samples between kth sample and (k+M)th sample.y is the output sequence over indices...


Platforms: Matlab

The function essentially simulates the colored noise which essentially is a correlated process and unlike the white noise does not have flat PSD. Although white noise is a realistic process color noise seems more practical and hence it requires correct modeling and simulation. The simulation here...


Platforms: Matlab

This archive contains the function which helps in adding the noise to the image given. The noise function can b given various parameters to create various types of noises like gaussian,uniform,Rayleigh etc..........This archive also contains a function which helps in restoring a distorted image....


Platforms: Matlab

vector generalization of matlab standard function randn() with correlations.inputs: Rpp - pXp correlation matrix nSamp - number of samplesoutputs: data matrix of size [p rows X nSamp cols] sample correlation matrix example generate a vector of 1000 pairs which are correlated as[1 -0.3][-0.3...


Platforms: Matlab

A Matlab reference implementation of a novel semi-analytical signal processing model for the binaural coherence of homogeneous isotropic noise fields is presented.The model is derived from a simplified geometrical model of the human head, where the shadowing between the left and right ear is...


Platforms: Matlab

Gives a menu to choose an homoscedasticity test as Bartlett, Cochran, Brown-Forsythe, Levene, O'Brien and Welch. It only needs the input data matrix and the significance level. To output the sample variances vector and whether or not the homoscedasticity was met.


Platforms: Matlab

The white noise is a combination of all frecuencies.The program generate white noise using randn and create a group of filters for the musical notes.The melody is introduced in a matrix


Platforms: Matlab