Sigma Lambda Phi Confraternity

The algorithm takes in a 1-D signal and finds the Gaussian derivative of it with the given kernel size and sigma, to provide the zero crossings. The zero crossings are then analyzed to give peaks and valleys. In order to remove very closely situated peaks and valleys, a width (provided by the...

This widget uses php-gd to generate a Sigma BC906 bike computer to show your bike statistics. The statistics can be entered by using the dashboard.Installation :Extract the zip archive in your WordPress plugins folder (wp-content/plugins) and then activate the plugin by using the WordPress...

Medical Doctor's HIPAA compliant email, manage PHI and voice transcription. Collaborate with Instant Messaging, File Sharing and Private Message Boards. Send and Receive secure email, share documents and patient information. HIPAA and GLBA compliant. Works across networks and firewalls without a...


Platforms: Mac

Moop (Mud, Object-Oriented, Pythonic) is a MOO written entirely in Python, with a Lambda-MOO-based syntax and using Python as its object scripting language.


Platforms: Windows, Mac, Linux

[psi gopt] = dfdesign_w(phi, w, d);DFDESIGN_W computes the H-infinity optimal inverse filter of a given filter phi(z).The resulting filter psi(z) minimizes the H-infinity norm of the error systemE_w(z) = [z^(-d) - psi(z)phi(z)]w(z).If an error occurs, use "dfdesign_w_lmi.m".[INPUT]phi: target...


Platforms: Matlab

This file explains how to run the demo shown in the July 2005 MATLAB Digest Article "Improving an Engine Cooling Fan Using Design for Six Sigma Techniques." You will need MATALAB, Statistics Toolbox, Curve Fitting Toolbox, and Optimization Toolbox to run all of the analysis. I recommend you view...


Platforms: Matlab

Medical Doctor's HIPAA compliant email, manage PHI and voice transcription. Collaborate with Instant Messaging, File Sharing and Private Message Boards. Send and Receive secure email, share documents and patient information. HIPAA and GLBA compliant. Works across networks and firewalls without a...


Platforms: Unix, Linux

fcnFirstOrderStatisticsFilter performs noise filtering on an image based on using First Order Local Statistics around a prespecified pixel neighborhood. The method is based on[1] J. S. Lee, "Digital image smoothing and sigma filter," Computer Vision, Graphics and Image Processing, vol. 24, no. 2,...


Platforms: Matlab

This code optimises the parameters for the term structure of volatility (TSOV) applied to historical forward curves - see discussion in Harris in reference 1 below. TSOVs avaible are: TermType - 1 = sigma = A exp (-CT) - 2 = sigma = A exp (-CT) + D - 3 = sigma = (A + BT) exp (-CT) + DRequired...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab

This function will calculate the wavelength of a given frequency. By default the program will presume the entered value is in MHZ. However if you want to enter a frequency in another scale you also have the option to enter the scaling parameter as well (khz,mhz, or ghz).function...


Platforms: Matlab

Sigma Photo Pro is an exclusive software package for displaying and manipulating your Sigma digital camera images on your computer.


Platforms: Mac

These are the M-files that accompany the webinar titled "Using MATLABdlT« and the Statistics Toolboxd-OC?D? for Design for Six Sigma (DFSS)." The recorded webinar will be available for viewing on the week of November 28, 2005: http://www.mathworks.com/company/events/archived_webinars.htmlThis...


Platforms: Matlab

A user-friendly mathematical plotter. Its main purpose is displaying 2D/3D functions, defined in rectangular, polar and cylindrical coordinates, relations between variables, parametric curves/surfaces and vector fields. It is based on SDL and OpenGL


Platforms: Mac, BSD, Linux

This is a discrete event model that has been developed to computationally simulate the many interactions that occur between co-inhabiting populations of bacteriophage lambda and bacteria. Model qualifications are under review for scientific publication.


Platforms: Windows, Mac, Linux

This package has solvers for constrained and unconstrained L1 minimization, which is useful for compressed sensing. u = COORDL1BREG(A,f,lambda) solves the minimization problem min_u ||u||_1 subject to A*u = fwhere A is an MxN matrix and f is a vector of length M. Input lambda is a positive...


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

Phi = keplerSTM(x0,dt,mu) will return the state transition matrix Phi for a set of objects described by initial positions and velocities (x0) with gravitational parameters mu, propogated along Keplerian orbits for time dt. The positions and velocities at time dt is then given by Phi*x0. x0 must...


Platforms: Matlab

A few days ago I was in need of uniformly random points generation on the surface of sphere. I suddenly discovered that common parametrization with 2 angles is useless, it gathers too many points in the poles. At MathWorld you can find the complete demonstration, here the main lines:To pick a...


Platforms: Matlab

DigitFD generates random sample from the fiducial distribution of the parameters mu and sigma [of the unobservable normal distribution], based on the (digitized) measurements from instrument with limited, however known resolution. Here,measurements = round( (mu + sigma * Z)/resolution ) *...


Platforms: Matlab