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Agility MCS Family: MATLAB to C Synthesis
Automatic Generation of ANSI C Code from MATLAB Source
Many signal processing algorithm developers use MATLAB® for algorithm development. Once an algorithm has been validated in MATLAB, a common next step is to implement the algorithm. During the implementation phase, the algorithm can take many different forms:
- prototype C code, called from a MATLAB testbench
- ANSI C code running standalone on a desktop processor
- C code optimized for a particular system environment or architecture
Creating any of these deliverables from MATLAB requires translating the original M-code into C code. Manual translation of the algorithm can be a laborious, error-prone task. Agility MCS automatically generates equivalent C code from MATLAB source code. By eliminating the manual translation task, MCS lets algorithm implementers create prototypes and implementations in minutes, not days or weeks. The automated nature of this new process enables implementation to begin even while the algorithm is still changing.
Create C Code Automatically
Agility MCS enables MATLAB programmers to automatically create C-code versions of their M-code models. This benefits algorithm implementors by:
- Eliminating manual language translation
- Enabling a common MATLAB testbench for continuous algorithm validation
- Creating an algorithm model that easily integrates with existing flows and executes on any ANSI C-code platform
- Defining a precise white-box algorithm hand-off
Agility MCS Features
Agility MCS enables users to:
- Generate ANSI C code from MATLAB algorithms Clear, readable C code
- Preserve variable and function names from original M code
- Match file structure and function hierarchy to M code
- Optionally interleave original MATLAB code as comments in generated C code
- Include pre-developed C code
- Cross-probe MATLAB and generated C code via a graphical user interface
Broad MATLAB Support
Agility MCS supports a large subset of the MATLAB language, including many of the commonly used features for modeling signal processing systems:
- Operators: arithmetic, matrix, logical, and bitwise operators
- Datatypes: real/complex, fixed-point, logical, structures
- Persistent and global variables
- Shapes: scalars, vectors, matrices, n-dimensional arrays
- Flow control constructs: if-then-else, for loops, while loops, switch
- Common mathematical functions (e.g. sqrt, sin, atan)
- Numerous built-in functions
- Fixed-point support: wide variety of rounding modes, saturation and modulo arithmetic
The Agility MCS GUI lets users cross-probe M code and automatically generate C code.
Key Features
- Automatic M to C synthesis
- Platform- independent algorithm execution
- Defines precise algorithm hand-off
Required Products
- MATLAB (R12.1 or later)
Supported Products
- MATLAB Communications Toolbox
- MATLAB Signal Processing Toolbox
- MATLAB Image Processing Toolbox
Operating Systems
- Microsoft Windows (2000 or XP)
- 32- or 64-bit Linux (Red Hat Enterprise version 3 or 4)