Noisy

Here in this program i designed a digital equalizer for noisy non linear channel using lms algorithm.Description of program: I made program for 2 channel filters and 3 functions of non linearity. equalizer is modeled from the output of the channel filter. And the delayed input is compared to the...

Demonstration of finding the minimum of a noisy function using gradient-based optimization.This model was developed for use in teaching optimization in graduate engineering courses. It demonstrates one approach for attempting to find the minimum of noisy functions using gradient-based...

Do you miss the days of typewriters, when you heard a distinctive sound each time you pressed one of the keys? Those days are back when you use Noisy Keyboard. This free system tray-based utility lets you hear seven different types of sounds as you hunt and peck your way through another computing...


Platforms: Windows

Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the original speech.


Platforms: Matlab

Spectral Subtraction method proposed by berouti for enhancement of noisy speech signals.


Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band.


Platforms: Matlab

Run exampleFilter.m to see how the algorithm performs on a sample of moderately noisy 2-photon imaging data. This function is a faster, vectorised, version of Java code written by C.P. Mauer as part of an ImageJ plugin (see below).function...


Platforms: Matlab

CM wav files are subjected to variable bit errors simulating serial transmission through a noisy channel.


Platforms: Matlab

Poof 1.0 is a noisy and insufferable joke that makes the sound of an alarm at the highest volume without stopping.


Platforms: Windows

Neural Creator is our visually based neural network development system that can be trained to perform pattern matching, feature recognition or make predictions on noisy or fuzzy data. It has an easy to use interface and comes with example projects and prebuilt neural network plugins allowing you...


Platforms: Mac

This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the data around it. The problem with the strictly derivative based peak finding algorithms is that if...


Platforms: Matlab

This landmark-based audio fingerprinting system is able to match short, noisy snippets to a reference database in near-constant time.This is my implementation of the music audio matching algorithm developed by Avery Wang for the Shazam service. Shazam can identify apparently any commercial music...


Platforms: Matlab

Computes an orthogonal basis from a given criteria. Options are identicalto those of sortwvfrms: basis are computed by signal width, localization, andnoise. The vectors are sorted by the given criteria, projected onto asubspace orthogonal to the previously sorted vectors, and sorted in...


Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND...


Platforms: Matlab

PEAKFIND general 1D peak finding algorithm peakfind(x_data,y_data) peakfind(x_data,y_data,upsam) peakfind(x_data,y_data,upsam,gsize,gstd) peakfind(x_data,y_data,upsam,htcut,'cuttype') peakfind(x_data,y_data,upsam,gsize,gstd,htcut,'cuttype') [xpeaks]=peakfind() [xout,yout,peakspos]=peakfind()...


Platforms: Matlab

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find and...


Platforms: Matlab

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm.


Platforms: Matlab

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

Noisy environments make difficult the pattern recognition tasks. In this sense, and due to the artifacts that are present in the acquisition process, the most of the biomedical images (i.e. coming from magnetic resonance tests) become noisy and it is complicated even to define a Region Of...


Platforms: Matlab