Cloze Passage Samples

This Function HistConnect will make a smooth histogram for a signal or image consisting of a few samples. The function assumes correlation between the samples, and implicitly generates new linear-interpolated samples between the originate samples. Thus makes the assumption of continuity between...

Unlike standard scatterplot() which doesn't allow you to plot on the current figure, this function works in a more conventional way (e.g. similar to plot()) and allows you to specify also a title string and the plot string (colour, marker).More important, it adds indexes of the plotted data...

Samplify for Matlab allows sampled data users (those capturing real-world samples from A/D converters, or sending samples to D/A converters) to compress these samples in one of three compression modes:a) SignalZIP (TM) lossless mode,b) Samplify fixed-rate mode (users specify the desired...


Platforms: Matlab

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 *ends*, that padding can be split so that some are at the...


Platforms: Matlab

Takes the data length, window length and window overlap length as inputs and returns the number of windows that will result. Will also return the start samples and end samples of each window if asked.


Platforms: Matlab

The samples of code included numerically solve the diffusion equation as it arises in medical imaging. This process is done with multiple solution methods, various boundary conditions, and in multiple dimensions.


Platforms: Matlab

It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there are three classes, and labeled as 1, 2 and 3. The...


Platforms: Matlab

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 assume that variables X and Y are normal distributed and with a...


Platforms: Matlab

Sometimes it is important to be able to estimate the peak of a sampled continuous function between the samples. This is called subsample peak interpolation and is used in radar, delay estimation, and communication. Typically one fits a model to the sampled data and then finds the maximum of the...


Platforms: Matlab

This function computes the Modified Hausdorff Distance (MHD) which isproven to function better than the directed HD as per Dubuisson et al.in the following work:M. P. Dubuisson and A. K. Jain. A Modified Hausdorff distance for objectmatching. In ICPR94, pages A:566-568, Jerusalem, Israel,...


Platforms: Matlab

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 FODE (in its standard form) are the inputs of this...


Platforms: Matlab

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 color space that is used and the extra features which...


Platforms: Matlab

Some optimization problems have very simple surfaces to optimize. The optimizer simply proceeds downhill to the unique minimizer and returns happily - all is good in the world. Sadly, more often the objective function has multiple local minimizers, you as the user provide poor starting values,...


Platforms: Matlab

The zip includes:(1) lsqAffineSpace: a 'low level' routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some options for discarding outliers.(2) lsqPlane and lsqLine: lsqAffineSpace wrappers, that compute optimal line and...


Platforms: Matlab

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 Height and Width in mm), but is easily extended.


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

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 research- Polar zenithal plot of ccd sections- Polar azimutal plot of ccd...


Platforms: Matlab

[A,B,C,D]=era(h,n,N,Ts,def);This function returns the state-space model (A,B,C,D) in continuous or discrete time. The input parameters are the discrete-time impulse response function (IRF); the order of the system; the number of samples to assembly the Hankel matrix and the sample...


Platforms: Matlab

This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections. Inputs y - observation (lower dimensional projections)F - projection from signal...


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