Instrumentation and Visualization in MATLAB

Collect simulation data and statistics, use visualizations to explore your designs 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.

Funzioni

`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

Argomenti

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.
Conversione manuale di un algoritmo MATLAB in virgola mobile in uno in virgola fissa
Conversione manuale di un algoritmo MATLAB in virgola mobile in uno in virgola fissa.

Informazioni complementari

Manual Fixed-Point Conversion Best Practices Webinar

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Develop Fixed-Point Algorithms

Develop and verify a simple fixed-point algorithm.

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Set Data Types Using Min/Max Instrumentation

Set fixed-point data types by instrumenting MATLAB code for min/max logging and using the tools to propose data types.

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