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Collection of C++ Examples for beginning and intermediate levels.

y = RankOrderFilter(x, window, thd) runs a rank-order filtering of order N on x. y is the same size as x. If x is a matrix, RankOrderFilter operates along the columns of x.

Rank-order filter calculates the p'th percentile of the data on...

This model shows how you can model simple Buffer and UnBuffer
using just Simulink blocks.
A simple utility I''ve created to aid in building Simulink models.
You can test the correctness of the models in comparison to an ideal

PICKPEAKS is similar to MATLAB's FINDPEAKS; it returns local peaks and their indices for the input X. The main differences are that PICKPEAKS
- is faster (much faster for large vectors),
- allows X to be a 2D matrix (not just a vector)...

Function performs two tests on an ICC profile which are designed to assess aspects of its quality. The first test does a round trip through the B2Ax & A2Bx transforms of a clut profile and reports statistics on the differences. The second test...

The INTERPFT function does sinc interpolation by taking an FFT, padding its end with zeros, and then taking an IFFT. Essentially, INTERPFT resamples the signal after low-pass filtering it.

Instead of putting all zero padding at the FFT...

vector generalization of matlab standard function randn() with correlations.

inputs: Rpp - pXp correlation matrix
nSamp - number of samples

outputs: data matrix of size
[p rows X nSamp cols]

This util reads in data and meta-data from ATL/Philips ultrasound scanners, stored in XIF (eXcellent Image Format) files.

It only reads the most commonly used elements from the meta-data (Scanlines, Samples, Frame Rate, Frames and...

These programs were developped to exploit luminance or BRDF data from the EZ-Contrast instrument developped by Eldim. They are applicable to any measurment done using a ccd sensor.

The developped library includes:
- maxima...

Modify the size of dataset without changing values. It acts as oversampling and downsampling functionalities
for example
data1 = Modifysize(data,1000);

the above statement will cause data1 has the same values as data but...

Hotelling's T-Squared multivariate test for one sample, two independent samples [homoskedasticity or heteroskedasticity (to test)] and two dependent samples.

This function solves the linear fractional-order differential equations (FODE) with constant coefficients. The short memory principle has not neen used here, so the length of input signal is limited to few hundred samples. The parameters of the...

Use: Fill in the amount of cDNA (ng), dNTPs (ng), primers/probe (ng), the efficiency of the primer-probe, the quality of the RNA (RIN-number), the name of the sample and the number of cycles. Press 'Add Sample' to add it to the list. After adding...

SiteProctor is an ASP.NET library which tracks average resource load times and generates a summary page. This can be useful in troubleshooting and performance analysis when it comes to understanding which pages are responsible for delays.

1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y,...

MVG is a multivariate Gaussian (normal) random number generator. A user can generate a vector from the multivariate normal distribution of any dimension by specifying a mean vector and symmetric positive-definite covariance matrix. A linear...

This file estimates the a priori statistical power of a single-factor Multivariate Analysis of Variance (MANOVA).

The MATLAB macro needs to Input the R2-alternate-hypothetical population proportion of variance of the source-proportion...

This color reduction software is based on a new neural network classifier (SGONG). The SGONG network classifier is suitable for color quantization applications, since each image pixel is considered as multidimensional vector, depending on the...

Discriminant Functions is one of statistical technique used in Pattern Recognition for separating classses.
This is parametric methods, means, it requires that mean and covariance of class is known. In other words, Probability Density of...

Passing & Bablok described this procedure in the 1983.
This procedure is ideal if you want to compare 2 different methods (instrument) which measure the same chemical analyte in the same sample.
Classical linear regression method...