Home > MathWorks announces release 2009b of the MATLAB and Simulink product families

MathWorks announces release 2009b of the MATLAB and Simulink product families

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MathWorks today announced Release 2009b (R2009b) of its MATLAB  and Simulink  product families. R2009b includes features for faster performance and enhanced handling of large data sets, builds on component-based modeling features in Simulink, and updates 83 other products, including PolySpace code verification products.

MATLAB features in R2009b include:

  • Users can now access the MATLAB Central File Exchange, including thousands of user-contributed files, directly from the MATLAB environment
  • Mapping Toolbox  enables the search and retrieval of geographic data sets from Web Map Service (WMS) servers (for example, NASA JPL OnEarth and Microsoft TerraServer)
  • Simulink Control Design – Automated tuning and turnkey PID controller blocks in Simulink for faster design and verification of these frequently used controllers
  • Simulink Verification and Validation – Model Advisor Configuration Editor to manage and deploy a consistent set of checks and rules for modeling standards across an organisation
  • Simulink Design Verifier - New API that allows Embedded MATLAB to be used as a property specification language
  • Real-Time Workshop Embedded Coder  – More efficient code generation for signal processing applications, with reduced data copies and optimised matrix operations
Key R2009b highlights for the MATLAB product family include extended support for multicore and multiprocessor systems as well as improvements for handling large data sets. MATLAB and Image Processing Toolbox  now offer more multithreaded implementations of functions, and Statistics Toolbox  adds parallel computing support for several functions. For users with large data sets, MATLAB now offers the ability to perform FFTs on data sets larger than 2 GB, Image Processing Toolbox adds a function to support processing of arbitrarily large TIFF images, and Parallel Computing Toolbox  includes a new interface for working with large data sets that are distributed across a cluster.

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