Noisy Oyster Charleston Sc

SC - Sparse ClassifierFSC - Fast Sparse ClassifierGSC - Group Sparse ClassifierFGSC - Fast Group Sparse ClassifierNSC - Nearest Subspace ClassifierRequires SPGL1 - http://www.cs.ubc.ca/labs/scl/spgl1/Requires Sparsify - http://www.see.ed.ac.uk/~tblumens/sparsify/sparsify.htmlRequires...

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...

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

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production...


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

The spectral Subtraction Method for enhancement of noisy speech signals proposed by Boll 79. The method implements spectral averaging and residual noise reduction proposed in the paper. Note that the first 0.25 sec of the speech signal is assumed to be noise only and is used to model the noise...


Platforms: Matlab

Description of program: I made program for 2 channel filters and 3 functions of non linearity. equalizer is modeled using both LMS and RLS algorithms from the output of the channel filter. And the delayed input is compared to the output of the equalizer and the error is used to model the...


Platforms: Matlab

One way to actuate a SimMechanics model is by providing its Actuator blocks with 'Motion' signals. The input to a 'Motion' actuator is a three-element vector containing position, velocity and acceleration signals.In many applications, the only data that is available is the position. This raises...


Platforms: Matlab

Generate the diffusion gradient vector field as in Xu and Prince 1998dgvf_calc is the three dimensional extension of the 2D version described in Equation 12Xu and Prince 1998,"Snakes, Shapes, and Gradient Vector Flow", IEEE Transactions on Image Processing Vol.7(3)Input:I: three dimensional image...


Platforms: Matlab

read_SRTMtile: returns lon, lat, & height (height in meters) from SRTM 3-arcsec dataUSE: [vlon vlat vhgt] = read_SRTMtile(filename,sc)INPUT:1) filename: filename, e.g. 's23w041.hgt'the 3-arc sec files can be found at:http://dds.cr.usgs.gov/srtm/version2_1/SRTM3/2) sc: spot check, any value here...


Platforms: Matlab

This is a simple filter that converts noisy data of arbitrary amplitude to 1s and 0s.The input is an array of the raw data, and a new array of 1s and 0s of equivalent array length is returned.The function uses simple edge detection. The maximum and minimum amplitude of the array is stored, and...


Platforms: Matlab

fastBSpline - A fast, lightweight class that implements non-uniform B splines of any order Matlab's spline functions are very general. This generality comes at the price of speed. For large-scale applications, including model fitting where some components of the model are defined in terms of...


Platforms: Matlab

PURE-LET has been recently proposed [1] as noise removal strategy from Poisson-count images. Specifically, PURE (Poisson unbiased risk estimator) is an unbiased estimate, defined in the Haar wavelet domain, of the mean-squared error between the original image and the estimated image. PURE-LET...


Platforms: Matlab

The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neurons is one of the standard criteria used to classify their responses. The standard method uses bins and produces a noisy and biased estimate of the required quantity. This function...


Platforms: Matlab