1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
        2、課程完成后,授課老師留給學員手機和Email,保障培訓效果,免費提供半年的技術支持。
        3、培訓合格學員可享受免費推薦就業機會。

1

Code Generation with MATLAB Coder Objective: Become familiar with MATLAB
Coder and its applications.
MATLAB Coder overview
Workflow for generating C code from MATLAB code
Setting up your C compiler
Generating C code
Navigating generated code
Generated code modules
Preparing MATLAB Code for Code Generation Objective: Use MATLAB Coder
coding standards to write
MATLAB code that is ready for code generation.
Translating MATLAB code into C code
Calling unsupported MATLAB functions
Converting existing MATLAB code
Debugging strategies
Working with Fixed-Size Data Objective: Generate C code from MATLAB code
that has fixed-size or constant inputs.
Data characteristics overview
Default data characteristics
Specifying fixed-size top-level inputs
Specifying constant top-level inputs
Working with Variable-Size Data Objective: Generate C code from MATLAB code
that has variable-size inputs or local data.
Specifying variable-size top-level inputs
Specifying variable-size local data
Reusing variables

2

Working with Global Data and Structures Objective: Generate C code from MATLAB
code that contains persistent data,
global variables, or input structures.
Persistent variables
Global variables
Working with structures
Passing variables by reference
Integrating with External Code Objective: Integrate generated C code from MATLAB
Coder with external C code.
Code integration overview
Entry points to generated code
Integrating external C code using MATLAB Coder interface
Integrating external C code using an external IDE
Calling external C routines
Integrating with a MATLAB wrapper function
Optimizing Generated Code Objective: Use various options and techniques to
optimize generated code.
Specifying variable numbers of arguments
Loop unrolling in generated code
Null initialization
Function inlining
File partitioning
Configuration object for embeddable C code generation
Naming conventions in generated code
Optimizing for computational complexity