Wireframe Models

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

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...

- 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

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

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

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

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


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

Atangeo Balancer is a tool that puts your 3D polygonal models in balance. With Balancer you can quickly and easily find your perfect balance between visual appearance and the number of polygons. Balancer utilizes a high quality polygon reduction (aka mesh simplification) to preserve the visual...


Platforms: Windows

Easily the most advanced wireframe software, OverSite™, lets you quickly define the hierarchy of your website or application. Create sections and subsections, then fill them with pages and screens. Rearrange your structure with OverSite's easy drag-and-drop interface. Once you've done all...


Platforms: Linux

"It's one of the most used models for signal prediction in urban areas, valid from 150Mhz to 1500MHz, losses are spreading in the urban area as a standard formula and proprciona fixes for applications to other situations"


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

Shape Context is a method to get an unique descriptor (feature vector) for every point of an object contour or surface. This descriptor is used in combination with a b-spline free form deformation grid, for fully automatic creation of point mappings between patient datasets (2D/3D).The 2D Example...


Platforms: Matlab

Enhanced Content Models add new features to the Fedora 3.0 content models.. A more elaborate specification of the data objects. The repository view system. The object creation templates, for creating new objects


Platforms: Windows, Mac, Linux

A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.


Platforms: Windows, Mac, Linux

This file contains a set of 3D models with the following characteristics: p: nx3 array of 3D points t: ntx3 array of triangles id. First points flagged as 1. tnorm: ntx3 arrays normals of triangles with outward orientation.You can use this package to test your algorithms.Models can be dowloaded...


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

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

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


Platforms: Matlab