Ken:<\/strong> In MATLAB R2011a, not only the code generation products changed. The products for designing signal processing algorithms have also been reorganized. Here is a visual summary what\u2019s happening:<\/p>\r\n\r\n Guy:<\/strong> What is a System Toolbox?<\/p>\r\n\r\n Ken:<\/strong> Last year, we introduced a new technology in several blocksets called System objects<\/a>. System objects are pre-defined algorithms for MATLAB with functionality that had previously been available only to Simulink users, such as fast stream processing, implicit state handling, design options such as fixed-point, and code generation support. <\/p>\r\n\r\n With the System Toolboxes, you can design signal processing algorithms suitable for fast simulation, real-time prototyping, and embedded implementation. Any MATLAB algorithm that you design for code generation, including the use of System objects, is reusable in Simulink using the new MATLAB function block<\/a>.<\/p>\r\n\r\n Guy: <\/strong> That sounds pretty cool. Let's see how we can identify a system using an LMS adaptive filter, and implement it in 3 different ways:<\/p>\r\n\r\n MATLAB script<\/strong><\/p>\r\n\r\n In this example, I create a dsp.LMSFilter<\/a> object and a dsp.DigitalFilter<\/a> object. Then I use the step<\/a> method to process data using the algorithm defined by each objects. Executing step 10 times in a loop is similar to running a Simulink model for 10 time steps.<\/p>\r\n\r\n![\"Changes](\"https:\/\/blogs.mathworks.com\/images\/seth\/2011Q2\/SystemToolboxes.png\")
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