Mr. Bruce M. Tannenbaum Profile

Bruce M. Tannenbaum

Sales Representative at MathWorks Inc

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Proceedings Article | 22 May 2006 Paper

Adoption, impact, and vision of model-based design

David Jackson, Bruce Tannenbaum, Witold Jachimczyk

Proceedings Volume 6228, 622817 (2006) https://doi.org/10.1117/12.665078

KEYWORDS: Model-based design, Data modeling, Video, Systems modeling, Mathematical modeling, Simulink, Optical flow, Detection and tracking algorithms, Algorithm development, Data conversion

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Model-Based Design streamlines system development by enabling engineers to model systems, perform fast simulations, manage timing behavior, migrate designs from floating-point to fixed-point data types, automatically generate code, and perform testing and verification. In Model-Based Design, a system model is at the center of the development process- from requirements capture and design to implementation and test. Through integrated simulation, the model becomes an executable specification that allows design trade-offs to be quickly explored before investing in costly hardware implementations. For example, in a video tracking system, is simple background subtraction sufficient or would optical flow be more robust? Which of the optical flow algorithms provides enough precision without exceeding processor performance headroom? Once the floating-point or golden reference model is complete, Model-Based Design eases the migration to fixed-point data types with built-in tools to control finite word effects. Tools for automatic code generation ease the implementation of embedded systems, saving time and avoiding the introduction of hand-coding errors. Model- Based Design enables test and verification to occur continuously throughout the development cycle. When errors and problems are discovered early, it is less expensive to fix them and it is less likely that they will represent a significant delay to a development schedule.

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