Greater Than Sign

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For algorithm...

Let us assume the signal model:Y(k)=HX(k)+B(k)This script provides a method for the blind recognition of the number of sources (the size of X(k)). The noise must be spatially white and the number of receivers is assumed to be stricly greater than the number of sources. See reference [CHE91] Chen....

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. See Reference...


Platforms: Matlab

This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a certain number. This model implements the NLMS...


Platforms: Matlab

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone...


Platforms: Matlab

Clipping is the main program. There are three inputs: y is the time record, threshhold_value is the clipping threshhold, and threshhold_samples is the number of consecutive data points exceeding the threshhold_value to indicate that the data is clipped.The program returns two cells arrays...


Platforms: Matlab

GRANGER_CAUSE is a Granger Causality Test. The null hypothesis is that the y does not Granger Cause x. A user specifies the two series, x and y, along with the significance level and the maximum number of lags to be considered. The function chooses the optimal lag length for x and y based on the...


Platforms: Matlab

[MU, SIGMA, D] = TRUNCLOGNORMEST(DATA) returns the estimated parameters of the lognormal distribution, with unknown left truncation, using the sample data of percent of observations greater than observed quantities.DATA is assumed to be nx2 where the first column is a set of known values, and the...


Platforms: Matlab

The program computes the residue curve map for the ternary mixture benzene-toluene-p-xylene. When you change the mouse's position, a new residue curve is computed and displayed. Residue curve maps play an important role in the conceptual design of distillation columns. The pointer's position...


Platforms: Matlab

A cumulative Mann-Kendall trend test.Calculating p-values for monotonic trend of ordinal data sequences(e.g. proteins) by a compound test based on Kendall's rank correlation.Ref.: The DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Use: pval = cumKendallTest(Q,pop,tail)returns...


Platforms: Matlab

S = ARABIC2ROMAN( N ) produces the Roman numeral, S, for a given Arabic numeral, N. N is a scalar number. S returns a string.Limitation: Does not handle Arabic values greater than 3999


Platforms: Matlab

IMGOUT = RGB_THRESH(TEMPIMG, REDL, etc) takes a RGB image TEMPIMG, and returns a binary mask IMGOUT that consists of the pixels that are greater than or equal to the LOW RGB values AND less than or equal to the HIGH RGB values.


Platforms: Matlab

The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S test is distribution free in the sense that the...


Platforms: Matlab

CSMV calculates distances from a given set of points to a set of linear segments SYNOPSIS: [squared_distances_to_segments I]=csmv(P,R,Q,to_plot) [squared_distances_to_segments I]=csmv(P,R,Q,...) INPUT P,R : arrays of coordinates of 2n segment endpoints (i.e., if there are n segments considered in...


Platforms: Matlab

To compute the Euclidean separation (L2 norm) between two sets of points in MATLAB can be slow and/or memory-hungry. In some cases (most particularly, if you are working with 2D, 3D or 4D data), this function will do it 2-4 times faster than the fastest m-code I've seen (due to Germano Gomes) and...


Platforms: Matlab

This submission includes the files used in the webinar delivered March 1st, 2007, and titled "Optimizing Motion Control Systems Featuring a Four-Bar Linkage".It demonstrates the use of Inverse-Dynamics implemented through the tool SimMechanics. The ability to anticipate actuator torque...


Platforms: Matlab

The function arg2vars serves for assigning of values from input argument(s) to variables declared in the output list in the place ofthe function calling. Not assigned output variables are empty, while superfluous arguments are cut to a number of output variables. Number of allocated items is a...


Platforms: Matlab

LABEL is a generalization of BWLABEL: BWLABEL works with 2-D binary images only, whereas LABEL works with 2-D arrays of any class. L = LABEL(I,N) returns a matrix L, of the same size as I, containing labels for the connected components in I. Two adjacent components (pixels), of respective indexes...


Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

COPL = ISCOPLANAR(X,Y,Z,TOLERANCE) takes input arguments x,y, and z as column vectors; TOLERANCE is optional.COPL = ISCOPLANAR(x) takes an n x 3 input argument in the form [x1 y1 z1;x2 y2 z2;...;xn yn zn] The optional argument TOLERANCE allows for roundoff error; if each combination of four...


Platforms: Matlab