Aerospace and Defense

MathWorks International Aerospace and Defense Conference - Abstracts

• MIADC 2005 Main Page
• Proceedings and Presentations
• Conference Highlights - Day One
• Conference Highlights - Day Two
• Abstracts and Biographies - General Sessions
• Abstracts - Intro/Master Classes
• Exhibitors

Introductory and Master Classes

Introductory Class

Topic: MATLAB and Simulink Product Overview
When: May 24, 8:00 – 8:45 a.m.
Speakers: Stuart McGarrity and Jason Ghidella, The MathWorks

This session will provide a high-level overview of MathWorks platform products, MATLAB and Simulink. Through aerospace and defense industry examples, we will demonstrate the core capabilities of these products. This session is for those new to the MathWorks product family who want to get a better understanding of MATLAB and Simulink capabilities prior to attending the full MIADC program.

Pre-registration for this 45-minute session is required. Please indicate your interest on the registration form.

Master Classes

Running concurrently with the general session track each day are three 90-minute master classes. These sessions are for advanced users who want to gain deeper knowledge of MathWorks tool use and capabilities.  Attendees are eligible to register for one master class session each day.

Pre-registration is required for these sessions because seating is limited. Onsite registration for these sessions will be based on space availability.

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Topic: Handling Large Datasets Efficiently in MATLAB
When: May 24, 11:00 a.m. – 12:30 p.m.
Speaker: Stuart McGarrity

Today’s engineers need to access, analyze, and visualize increasingly large data sets. We will show you strategies for handling large amounts of data in MATLAB and avoiding "out-of-memory" errors. We will provide you with an understanding of the causes of memory limitations in MATLAB and a set of techniques to increase the available memory in MATLAB. You will also learn techniques you can use to minimize memory usage in MATLAB.

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Topic: Automatically Generating Embedded Code for Control Systems
When: May 24, 1:30 – 3:00 p.m. and May 25, 3:30 – 5:00 p.m.
Speaker: Steve Toeppe

A key driver of the rapid adoption of Model-Based Design is the ability to quickly develop new algorithms and automatically generate code. Real-Time Workshop Embedded Coder is a key product for rapidly generating fast and efficient code that exactly duplicates the simulation behavior. In this Master Class, we explain the primary workflow and key features of Real-Time Workshop Embedded Coder for developing and deploying code on an embedded controller. We will review an illustrative example with several software-specific requirements and prepare to generate code systematically. Specific topics include managing data dictionaries, integrating legacy code, generating reusable code, interfacing with hardware, integrating with operating systems, and formatting code.

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Topic: Fixed-Point DSP Modeling, Code Generation, and Verification for FPGAs
When: May 24, 3:00 – 4:30 p.m. and May 25, 11:00 a.m. – 12:30 p.m.
Speaker: TBD

In this Master Class, we will demonstrate how to develop a signal processing application using Model-Based Design. We will show you, step-by-step, the specification, design, simulation, code generation, and verification of a high-speed digital “front end” for a software-defined radio (SDR) application. We will demonstrate designing fixed-point, multi-rate filters for digital down conversion; validating the design using MATLAB simulation; automatic generating VHDL; and verifying the HDL model through co-simulation, using Simulink and ModelSim. Using fixed-point scaling and hardware pipelining, we will achieve an efficient and practical implementation in silicon.

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Topic: Developing Video and Image Processing Applications in Simulink
When: May 25, 1:30 – 3:00 p.m.
Speaker: TBD

In this Master Class, you will learn how to develop real-time video processing systems using Simulink and Model-Based Design. We will emphasize prototyping video and image processing applications using Simulink, the Signal Processing Blockset, and the Video and Image Processing Blockset. Then we will automatically generate efficient code for a DSP chip using Real-Time Workshop. You will learn about key aspects of system design, floating-point to fixed-point conversion, and interactive visualization and verification of simulation results.