||Create fixed-point converter object|
How to derive range information using the Fixed-Point Tool
Differences between deriving ranges at the model level and at the subsystem level
Derive ranges for a model that contains multiple instances of the same referenced model.
How range analysis using design range information when deriving ranges.
This example shows how range analysis takes into account block initial conditions.
This example shows how the range analysis takes into account design range information for Simulink.Parameter objects.
How to view derived range information in the Fixed-Point Tool
Third step in autoscaling using range analysis workflow
This section shows how to convert a floating-point model that contains bus objects to fixed-point using range analysis.
Use the Fixed-Point Tool to convert a model containing a MATLAB® Function block to fixed point using range analysis.
Introduces the Fixed-Point Tool
Describes how the analysis derives range information
The Fixed-Point Tool derives minimum and maximum values for referenced models.
Overview of software features that are not supported for range analysis.
Summary of range analysis support for Simulink® blocks.
Workflow for autoscaling a model using range analysis.
Highlight the differences between the command-line interface workflow and the Fixed-Point Tool workflow
Follow these best practices for a smoother conversion process from floating point to fixed point.
The following table shows the different types of range analysis issues and the steps to resolve them.
If you specify conflicting design minimum and maximum values in your model, the range analysis software reports an error.
If the analysis cannot derive range information because there is insufficient design range information, you can fix the issue by providing additional input design minimum and maximum values.
This example demonstrates how to proceed if the analysis cannot derive range information because there is insufficient design range information.