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Recent Links
These are the links submitted in the past 30 days.
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Submitted: Apr 24, 2008
Text to Matrix Generator (TMG)
Category: MATLAB>Utilities
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Text to Matrix Generator (TMG) is a MATLAB® toolbox that can be used for various tasks in text mining (TM). Most of TMG (version 4.0) is written in MATLAB, though a large segment of the indexing phase of the current version of TMG is written in Perl. Previous versions that were strictly MATLAB are also available. If MySQL and the MATLAB Database Toolbox are available, TMG exploits their functionality for additional flexibility.
TMG is especially suited for TM applications where data is high-dimensional but extremely sparse as it uses the sparse matrix infrastructure of MATLAB.
Submitted by Efstratios Gallopoulos
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Total Visits: 28
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Submitted: Apr 11, 2008
HPlus - A Software Application for Haplotype Estimation
Category: MATLAB>Biotechnology
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HPlus is a user-friendly software application for estimating haplotype frequencies, inferring individual haplotypes, and most significantly assessing haplotypic associations with various types of phenotypes. HPlus handles bi-allelic genetic markers such as SNPs, and multi-allelic genetic markers such as microsatellites. HPlus can perform association analysis using 1) binary phenotypes such as disease status from case-control studies or cohort studies, 2) continuous outcome(s) such as adulthood heights or biomarkers from clinical follow-up studies, cohort studies, or intervention studies, and 3) survival outcomes from clinic trials, cohort studies or clinical follow-up studies. Finally, HPlus allows you to incorporate covariates such as demographic or clinical variables into haplotypic association analyses. These covariates can be treated as confounding variables to be adjusted for during the haplotypic association analysis. In addition you can assess gene-environment interactions between covariates and haplotypes. HPlus also allow users to perform stratified analysis by grouping variables chosen by users.
Updated Apr 14, 2008
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Total Visits: 8
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Submitted: Apr 11, 2008
MATLAB tricks from the desk of Stinkpot
Category: MATLAB>Newsletters and Blogs
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being a dork, i've learned a lot of geeky things through either googling or trial and error. since i'm very forgetful, i've collected these knowledge nuggets here, so that i don't have to repeat that learning process. if you can also make use of this information - fantastic! in fact, if you've got a tech question (that this body of tips suggests i know the answer to), feel free to write to LDavid AT MIT DOT EDU and i'll try to answer it. i'll even post the answer here. so without further ado, useful stuff:
Updated Apr 14, 2008
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Total Visits: 32
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Submitted: Mar 19, 2008
Physical Modeling
Category: MATLAB>Model-Based Design
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Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted by Steve Miller
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(1 Ratings)
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Total Visits: 212
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Submitted: Mar 19, 2008
Physical Modeling
Category: MATLAB>Model-Based Design
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Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted by Steve Miller
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(1 Ratings)
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Total Visits: 212
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Submitted: Mar 19, 2008
Physical Modeling
Category: MATLAB>Model-Based Design
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Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted by Steve Miller
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(1 Ratings)
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Total Visits: 212
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Submitted: Mar 19, 2008
Physical Modeling
Category: MATLAB>Model-Based Design
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Update Link / Bad Link? |
Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted by Steve Miller
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(1 Ratings)
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Total Visits: 212
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Submitted: Mar 19, 2008
Physical Modeling
Category: MATLAB>Model-Based Design
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Update Link / Bad Link? |
Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted by Steve Miller
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(1 Ratings)
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Total Visits: 212
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Submitted: Mar 14, 2008
MATLAB Tutorials for Students
Category: MATLAB>Academic Curricula>General Interest
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The MathWorks interactive, video-based MATLAB? tutorial gets students up to speed in using MATLAB for homework and course projects.
MATLAB On-Ramp Tutorial (30 minutes)
Learn the basics of MATLAB in the context of using it as a powerful graphical calculator.
Tutorial 1 - Navigating the MATLAB Desktop (6:10)
Tutorial 2 - Using MATLAB as a Graphical Calculator (22:55)
MATLAB for Problem Solving Tutorial (60 minutes)
Tutorial 3 - Using MATLAB to Solve Problems (2:13)
Tutorial 4 - Importing and Extracting Data (13:06)
Tutorial 5 - Visualizing Data (10:55)
Tutorial 6 - Conducting Computational Analysis in MATLAB (12:33)
Tutorial 7 - Fitting Data to a Curve (6:42)
Tutorial 8 - Writing MATLAB Programs (9:29)
Tutorial 9 - Publishing MATLAB Programs (8:01)
Updated Apr 16, 2008
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Total Visits: 124
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Submitted: Mar 13, 2008
Feedback Control Experiments - Experiments for feedback control education and research
Category: MATLAB>Academic Curricula>Mechanical Engineering
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Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
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Total Visits: 61
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Submitted: Mar 13, 2008
Feedback Control Experiments - Experiments for feedback control education and research
Category: MATLAB>Academic Curricula>Aerospace Engineering
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Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
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Total Visits: 42
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Submitted: Mar 13, 2008
Feedback Control Experiments - Experiments for feedback control education and research
Category: MATLAB>Academic Curricula>Electrical Engineering
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Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
Rating:
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(1 Ratings)
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Total Visits: 93
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Submitted: Mar 12, 2008
DSP log - Thoughts on digital signal processing for digital communication
Category: MATLAB>Academic Curricula>Electrical Engineering
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DSP log
The blog started some in February 2007 on the free Blogger platform and was hosted at http://dsplog.blogspot.com with the following objective:
"Explain and discuss the basic text book concepts in digital signal processing and digital communication using simple Matlab/Octave scripts."
Seeing consistent increase in traffic over the 6-7 months from inception, it was decided to move to an independent platform hosted at www.dsplog.com.
Target audience
(a) Students taking courses in digital signal processing/digital communication and requiring help to understand some of the concepts.
(b) Practising engineers who are fresh to the domain of digital signal processing and requiring help.
(c) Ofcourse, the experienced engineers can share tips and tricks associated with the digital signal processing trade. :)
Submitted by Krishna Pillai
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Total Visits: 79
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Submitted: Mar 11, 2008
Control Tutorials for MATLAB (Undergraduate 2nd year)
Category: MATLAB>Academic Curricula>Electrical Engineering
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These tutorials are designed to illustrate how to use MATLAB and Simulink for the analysis and design of automatic control systems. They cover the basics of MATLAB and Simulink, the most common classical control design techniques (PID, root locus, and frequency response), as well as some modern (state-space) control design. The Control Systems Toolbox is used extensively in these tutorials.
Course Level:
Senior undergraduate
Graduate
Type of content:
MATLAB Primer/Tutorial
Simulink Primer/Tutorial
Prerequisite(s) / Target Audience:
Students who need to learn or brush up on Matlab/Simulink.
MathWorks Toolboxes or Blocksets used:
Control Systems toolbox and Simulink
Professor Name: Bill Messner (CMU) & Dawn Tilbury (UofM)
Department: Mechanical Engineering
University: Carnegie Mellon and University of Michigan
Submitted by Bill Messner & Dawn Tilbury
Updated Mar 12, 2008
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Total Visits: 1721
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Submitted: Mar 06, 2008
Math 250C Introduction to Linear Algebra with MATLAB
Category: MATLAB>Academic Curricula>Mathematics
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This course introduces students to linear algebra using MATLAB. Topics include: matrix and vector computations, linear equations and matrix algebra, LU and QR decomposition, determinants, eigenvalues and eigenvalues.
Professor Name: Prof. R. Goodman, Prof. C. Woodward
Department: Mathematics
University: Rutgers University
Textbooks:
Spence, L., Insel, A., & Friedberg, S. Elementary Linear Algebra: A Matrix Approach 2e. Prentice Hall, 2008.
Language: English
Submitted by R. Goodman
Updated Mar 12, 2008
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Total Visits: 231
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