Instrumentation and Visualization in MATLAB
Choosing the scaling for the fixed-point variables in your algorithms can be difficult. In the Fixed-Point Designer™ software, you can use a combination of data type override and min/max logging with automatic model-wide instrumentation to help you discover the numerical ranges that your fixed-point data types need to cover. These ranges dictate the appropriate scalings for your fixed-point data types.
Functions
buildInstrumentedMex | Generate compiled C code function including logging instrumentation |
showInstrumentationResults | Results logged by instrumented, compiled C code function |
clearInstrumentationResults | Clear results logged by instrumented, compiled C code function |
NumericTypeScope | Determine fixed-point data type |
Topics
Data Type Override Preferences Using fipref
Data type override using the fipref object.
Manual Fixed-Point Conversion Workflow
Learn about workflow for manual float-to-fixed conversion.
Manual Fixed-Point Conversion Best Practices
Get from generic MATLAB code to an efficient fixed-point implementation using manual fixed-point conversion.
Manually Convert a Floating-Point MATLAB Algorithm to Fixed Point
Manual conversion of a floating-point MATLAB algorithm to fixed point.
