Swimsuit Models

This project deals with the translation of a Simulink models to SpecC specificationmodels. Matlab is one of the leading softwares in model based and algorithmic designing. SpecC (close to ANSI C) is a high level language which can be implemented on hardware usingSystem on Chip Environment(SCE)....

TPT offers unique and all-encompassing support for testing MATLAB/SimulinkdlT«/Stateflow- and TargetLinkdlT« models. The strengths of both systems can be used because of the perfectly tuned interface between TPT and MATLAB/Simulink. Functional models are created normally in...

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...


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

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

An essential step in embedded software development, floating- to fixed-point conversion can be tedious, labor-intensive, and error-prone. System engineers frequently design algorithms in floating-point math, usually double-precision. This format represents the ideal algorithm behavior but takes...


Platforms: Matlab

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper functions to perform a number of macroeconomic analyses. The main...


Platforms: Matlab

In this paper i present my views on how to do systematic testing of SIMULINK models. The views present are from my own perspective based on my experience working with model based product development applications. I also provide information on some testing tools and other tips. Please let me know...


Platforms: Matlab

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report...


Platforms: Matlab

This file includes models based on examples from the textbook, System Dynamics, 2e written by William Palm III and published by McGraw-Hill. The models are built using Simscape and Simulink. A free set of curriculum materials is available (for instructors) that includes a set of lecture slides...


Platforms: Matlab

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.The algorithms have guarantees on the cumulative square loss for the worst case when applied in online fashion in comparison...


Platforms: Matlab

The animated response of several classical system models is presented. Examples include a) large amplitude pendulum motion b) falling elastic cable c) forced response of a spring-mass-damper system d) vibrating string either released with initial deflection, or shaken at one end, or subjected to...


Platforms: Matlab

Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs. Therefore, unlike experimental design for linear models, the prior...


Platforms: Matlab

Simulate and visualize three models for aggregated telecommunications traffic with long-range dependence: superposition of renewal processes, infinite source Poisson (M/G/Infinity) model and integrated sum of on-off processes. The simulations illustrate known limit results for the models.Under...


Platforms: Matlab

The concept is explained in a document with a simple example. This method would be very useful for those who develop complex controller models and want to perform effective functional testing of them.


Platforms: Matlab

These models work with the time domain discrete dynamic response of a NDoF system. The Spatial Model directly identifies stiffness and damping matrices from restoring forces and displacements and is useful for monitoring damping alterations in the response of a pseudo-dynamic test. See the paper:...


Platforms: Matlab

The models demonstrated here are derived from measured data corresponding to macro cellular environments with path distances ranging from 1 km to over 10 km. The Hata and Lee models are the most commonly used models for signal prediction in urban areas.FOr the analysis purpose we have also...


Platforms: Matlab

bgam - Boosted Generalized Additive Models package---Implements boosting for the Generalized Additive and Linear Models (GAM and GLM).Extensible, fully documented. Implements linear and stub learners,least-squares/logistic/Poisson regression.The generalized linear model (GLM) is a flexible...


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

How did scientists figure out the structure of atoms without looking at them? Try out different models by shooting light at the atom. Check how the prediction of the model matches the experimental results. * Visualize different models of the hydrogen atom. * Explain what experimental...


Platforms: Mac