Non Robust Definition

Chaotic Binary 32-bit generator according to the article in the IEEE 2001, University of Nebraska "Robust Chaotic PN sequence generation techniques" Created to 'UNIVPM Ancona 26/01/2009%%%To vary the length of the sequence generated (set to 127), just edit N.

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust.It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0,i.e. it returns the vector...

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting...


Platforms: Matlab

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version...


Platforms: Matlab

The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software has proven significant affect on gene regulatory...


Platforms: Matlab

This collection contains M-files intended for design of the Mass/Damper/Spring control system using the newly available functions from Robust Control Toolbox,version 3. Description of the system and version of the files using functions from mu-toolbox can be found in the book ?Robust Control...


Platforms: Matlab

This provides a GUI to simulate navigation of a non-holonomic vehicle in from any location and orientation with the designated area to a fixed parking location. The controller is based on the use of Interval Type-2 Fuzzy Sets (FOU=[0 3 0]) which can be reduced to Type-1 Fuzzy Sets, if FOU is...


Platforms: Matlab

You can solve non-linear systems of 3 variables. Only write "newtonv1" on the command window. Then write the 3 equations, the number of iterations y the precision tolerance. The partial derivatives for the gradients are calculated by the program


Platforms: Matlab

This optical flow program shows how "optical flow" block from Video and image processing blockset of Simulink is capable dealing with BOTH rigid and non rigid optical flow!The advantage using this block for optical flow is it's speed and the reason you can easly export it to c (using real time...


Platforms: Matlab

This function NLMF performs Non-Local Means noise filtering of 1D signal, 2D grey/color or 3D image data. The function is partly c-coded for cpu efficient filtering. Suitable for almost every image data type such as MRI, CT and normal photos.Warning !, Image filtering removes noise, but important...


Platforms: Matlab

LOWESS- Locally Weighted Scatterplot Smoothing that does not require the statistical toolbox in matlab.This regression will work on linear and non-linear relationships between X and Y.Modifications:12/19/2008 - added upper and lower LOWESS smooths. These additional smooths show how the...


Platforms: Matlab

Design of a robust digital controller with PPR toolboxThis script shows the basic steps for the "digital two degrees of freedom controller" (2DOF) design with the PPR toolbox.The illustration of our methodology is based on a difficult plant control. To get a 2DOF controller, only 2 "high level"...


Platforms: Matlab

A toolbox for the non-local means algorithm.by Gabriel PeyrdoTe, 2007.The non-local means is an algorithm introduced by A. Buades, B. Coll, J.M Morel.The main reference for the algorithm is A. Buades, B. Coll, J.M Morel, "A review of image denoising algorithms, with a new one" , Multiscale...


Platforms: Matlab

This customised function solves one type of non-linear systemof 3 simultaneous equations in 3 unknowns: k, L and r0 in 3 equations with 4 knowns: zeta, eeta, d and angle.function matrixresults = symsolvenonlineq(n,degrees,dinput)% EXAMPLE USAGE: m=symsolvenonlineq(3,45,20)% nb: takes around 738s...


Platforms: Matlab

It is a systematic methodolgy to calculate in a non iterative way the infinity norm of a given Linear Invariant Control System.Some other applications are also provided such that to plot the maximum singular value of the given Linear System, etc.


Platforms: Matlab

Set of Matlab scripts for efficiently implementing Leo Breiman's non-negative garotte. For estimation of the garotte constraint we use either k-fold cross validation or the little bootstrap.


Platforms: Matlab

File contains the design of a digital over current relay block (Directional and Non Directional) d-deOCt a key component of any protection scheme d-deOCt and its performance on SIMULINKdlT«. A 400V industrial distribution power system is used as a tutorial to simulate and test over-current...


Platforms: Matlab

RM2SF changes the typeface of non-math text with latex interpreter from roman (serif) to sans-serif. This is needed because the latex interpreter typesets both math and text in roman irrespective of the font specification. Therefore RM2SF places each non-math part of the text inside textsf{}....


Platforms: Matlab

The enclosed function implements nonlinear fuzzy robust PCA algorithmintroduced inP. Luukka, 'A New Nonlinear Fuzzy Robust PCA Algorithm and Similarityclassifier in classification of medical data sets',International Journal of Fuzzy Systems, Vol. 13, No. 3, September 2011pp. 153-162.


Platforms: Matlab

The main file in this package, rsparse.m, creates a sparse array object that is a subclass of MATLAB's native sparse data type, but which is robust against certain bugs and errors (present as of R2009b). S=rsparse(varargin) The I/O syntax and options for rsparse() are identical to that of...


Platforms: Matlab