Fit Models

These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:http://www.mathworks.com/wbnr30317For other webinars and demos related to System Identification Toolbox, please...

This file contain functions for the calculations of:- Fresnel integral with sine and cosine integral- Fresnel integrals- Diffraction loss over one knife-edge using Fresnel integration end Lee's formula- Ploting the Cornu's spiral

Often, measured data is comprised of N sampled values of z, evaluated at N locations (x,y). With this function, you can calculate the coefficients of the best-fit x,y polynomial using a linear least squares approximation.You can use this function if you have a set of N data triplets x,y,z, and...


Platforms: Matlab

This ZIP file contains functions that permits the path loss calculation, using one of the two models of COST231:- Hata model with COST231 extension to the working frequency;- COST231-Walfish/Ikegami model


Platforms: Matlab

This toolbox was designed to simulate and fit linear state space models. The main literature I used for this particular package is Kim and Nelson (1999). A state space model (without non stochastic coefficients) is given by:y(t)=beta(t)*x(t)'+e(t)...


Platforms: Matlab

Hata and COST231-Hata Propagation Models. Two functions and two test scripts (with plots).


Platforms: Matlab

This code fits makes a linear fit to a data set (using y =bx+a) where each data point% has a different or constant standard deviation. Your data should have three or two columns.% The first column should be the independent variable(x) and the second% column should be the dependent variable(y)....


Platforms: Matlab

With improvements in signal processing some new models with enhanced features are made available.TVAR is on similar pattern.This model is better than conventional am-fm model in some respect as it facilates the implementation of same algo on various signals bearing different parameters. Use of...


Platforms: Matlab

A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post...


Platforms: Matlab

variogramfit performs a least squares fit of various theoretical variograms to an experimental, isotropic variogram. The user can choose between various bounded (e.g. spherical) and unbounded (e.g. exponential) models. A nugget variance can be modelled as well, but higher nested models are not...


Platforms: Matlab

Models! is a flexible diagramming tool. It doesn’t force you to follow strict, often useless rules for creating your models. Instead, it focuses on providing simplicity and beauty to the software design activity. Models features post-it notes, grids and alignment tools, coloring, formatting and...


Platforms: Mac

Shrink-Fit X is a utility for opening and extracting NuFX (ShrinkIt) files on OS X.


Platforms: Mac

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...


Platforms: Matlab

Interleaved, Successive Approximation, and Pipelined Sub-Ranging ADC models. These models are typical of the architectures used for high speed analog to digital converters.


Platforms: Matlab

The skill score is a statistic similar to the Nash-Sutcliffe in that the closer to one the better the model prediction. This function interprets model predictability using residual error and observed variability in your data. A skill score of 1 means a perfect fit (don't we all wish). A skill...


Platforms: Matlab

IntelliJ IDEA FIT Agilifier plugin provides support for FIT and Agilifier (launchers, easy result display of one test, navigation between test and code).


Platforms: Windows, Mac, Linux

Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.


Platforms: Windows, Mac, Linux

Hidden Markov models are used to describe the "stepping" behavior of molecular motors, as measured by single-molecule fluorescence techniques. Our HMM implementation is more versatile than the one described by Milescu, et al. Biophys. J. 91:3135-3150 and can be used as a "blind" step detector or...


Platforms: Matlab

- This demo supports R2006a -> R2010aSimulink plant and controller models are used with LEGO's latest high-tech robot (ARM-based LEGO Mindstorms NXT) to illustrate industrial application of Model-Based Design with Production Code Generation. Take note of the model architecture and component...


Platforms: Matlab

This submission includes functions and scripts for the estimation and simulation of ACD (autoregressive conditional duration) models. The zip file includes: - Scripts and functions for Estimation of an ACD(q,p) model with exponential or weibull distribution- Scripts and functions for Simulation...


Platforms: Matlab