Optimize the generated code by using the memset function to clear the internal storage. When you select the model configuration parameter Use memset to initialize floats and doubles to 0.0,
Use inline invariant signals to optimize the generated code. This optimization transforms symbolic names of invariant signals into constant values.
Optimize generated code by storing logical signals as Boolean data. When you select the model configuration parameter Implement logic signals as Boolean data (vs. double), blocks that
How the code generator combines for loops. The generated code uses for constructs to represent a variety of modeling patterns, such as a matrix signal or Iterator blocks. Using data
Use floating-point multiplication to handle a net slope correction. When converting floating-point data types to fixed-point data types in the generated code, a net slope correction is
How the code generator optimizes generated code by removing code that has no effect on computational results. This optimization:
How the code generator eliminates dead (that is, unused) code paths from generated code. This optimization increases execution speed and conserves ROM and RAM consumption.
How Simulink Coder handles complex signals efficiently. To view the data types of the signals, update the model using Simulation > Update Diagram. Complex signals are represented as
How Simulink® Coder™ optimizes generated code by setting block output that generates vectors to scalars, for blocks such as the Mux, Sum, Gain, and Bus. This optimization reduces stack
Expression folding optimizes code to minimize the computation of intermediate results at block outputs and the storage of such results in temporary buffers or variables. When expression
This model shows a fixed-point version of an acoustic noise canceller.
Optimize the generated code for a model that contains Switch and Multiport Switch blocks. When you select the model configuration parameter Conditional input branch execution, Simulink
This model shows fixed-point code generation in Simulink®, Stateflow®, and MATLAB®.
Optimize the generated code by inlining the numeric values of block parameters. Block parameters include the Gain parameter of a Gain block and the table data and breakpoint sets of an n-D
These examples show how to generate efficient code by configuring a block parameter to use the same data type as a signal that the block operates on.
When you use a parameter object (for example, Simulink.Parameter) to set block parameter values, you can configure the object to appear in the generated code as a tunable global variable. By