Exotic Models Bunz

The zip files contains SimulinkdlT« models that can be used for Teaching Signal Processing Concepts interactively. The models can be used for demonstrations or with modern teaching methods. The examples build on the ideas presented in the paper "Interactive models for teaching digital signal...

A common task in Simulink is to test a certain component of a larger model. With large-scale modeling, such componentization is often accomplished through the use of model reference. These large models also often use bus signals to organize large amounts of signals in the model. The situation at...

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

Tired of adding "To Workspace" or Display blocks when debugging your models?In this case, SIMLOG is for you. Select which signals to log, either individually or complete subsystems. After execution of the model, signals can quickly be inspected by selecting the signal in the model and click the...


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

To have access to JSBSim aircraft models, you must download JSBSim seperately!! Instructions in README file!!! Contains S-Function and source code.Based on JSBSim MEX-Function project by Agostino De Marco.Any JSBSim aircraft model will run!


Platforms: Matlab

Airlib is a library of aircraft models to be used with Simulink 3.1 (MATLAB 5.3) or later (tested on 6.1 & 6.5).It is based on two basic blocks that implement a continuous-time and a discrete-time nonlinear general aircraft model. Both blocks are largely based on the FDC toolbox, written by Marc...


Platforms: Matlab

The models simulates digitally controlled buck converters. There are two files; one with load transients and other without load transients.


Platforms: Matlab

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system.


Platforms: Matlab

process from the Book of Smith, Corripio - Automatic Process ControlContent:+ m-file linearization of nonlinear model+ m-file definition of the nonlinear model+ simulink models for the simulation of the process


Platforms: Matlab

It is a tool of quantitative models to handle differenttypes of problems and help decision making. This is doneusing an algorithm to solve the transport problemthe Northwest Corner Method.


Platforms: Matlab

These files introduce how Symbolic Math Toolboxd-OC?D? can be used to evaluate Nelson Siegel and Svensson models, which are 2 widely used techniques for modeling yield data. We demonstrate how you can define the models in the MuPAD notebook interface and perform some basic analysis and...


Platforms: Matlab

Genetic Programming (GP) generates nonlinear input-output models of dynamical systems from input-output measurement data. This GP-OLS toolbox applies Orthogonal Least Squares algorithm (OLS) to improve the search effeciency of GP.It can be used for static equation discovery or structure...


Platforms: Matlab

content:+ m-file of the nonlinear model+ m-file linearization+ simulink models for the simulation system


Platforms: Matlab

Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review...


Platforms: Matlab

A .zip file contains MATLAB scripts and data that were used in the webinar "Using MATLAB to Develop Asset-Pricing Models". The slides from the webinar are also included. The scripts examine the Fama & French model for a number of companies with recent IPOs to examine short-term pricing anomalies...


Platforms: Matlab

This is a MATLAB(R) implementation of the ideas discussed in Lopez-Calva, G. and K. Shea, "Fitting Survival Probability Models," WILMOTT Magazine, issue 45, pp. 16-22.We estimate the parameters of three different survival probability models based on credit default swap (CDS) spreads. The...


Platforms: Matlab

The user has to provide the program the constants and parameters of the models using a dialog box. A pop-up menu and an update button allow the user to select the plot (Txy, activity coefficients and relative volatility).A similar program using Mathematica 6.0 is available at the following...


Platforms: Matlab

These models demonstrate the usefulness of the following SimulinkdlT« diagnostics:- Solver Settings- Connectivity: Mux used to create bus signals


Platforms: Matlab

The following m files are written as part of my master's thesis at Masdar Instiute of Science and Technology.The compressor model is a semi-empirical and designed to be used for a positive displacement compressor. The constants in Tchparm.m for compressor model are obtained from experimental data...


Platforms: Matlab