Overflow and Precision Loss Detection

Debug sources of overflow and precision loss, compare to floating-point behavior

Identify, trace, and debug sources of overflow, precision loss, and wasted range or precision. Compare embedded implementation against ideal floating-point behavior.

Functions

`fixed.unifiedErrorCalculator.absoluteError`	Absolute error of two numeric inputs (Since R2023b)
`fixed.unifiedErrorCalculator.bitsOfError`	Bits of error of two numeric inputs (Since R2023b)
`fixed.unifiedErrorCalculator.relativeAbsoluteError`	Relative absolute error of two numeric inputs (Since R2023b)

Topics

MATLAB

Data Type Override Preferences Using fipref
Data type override using the fipref object.
Underflow and Overflow Logging Using fipref
Examples of using fipref objects to set logging preferences for fi objects.
Visualize Differences Between Floating-Point and Fixed-Point Results
Use a custom plot function to compare the behavior of the generated fixed-point code against the behavior of the original floating-point MATLAB^® code.
Enable Plotting Using the Simulation Data Inspector
Inspect and compare floating-point and fixed-point logged input and output data.
Custom Plot Functions
Visualize numerical differences during fixed-point conversion.
Detect Overflows
Detect overflows using the app.

Simulink

Use the Fixed-Point Tool to Explore Numerical Behavior
Example showing how to use the Fixed-Point Tool to compare floating-point and fixed-point data types.
Handle Overflows in Simulink Models
Control the warning messages you receive when a model contains an overflow.
Net Slope and Net Bias Precision
Net slope and bias precision, detecting precision loss, underflow, and overflow.
Detect Fixed-Point Constant Precision Loss
This example shows how to detect fixed-point constant precision loss.
Use Scaled Doubles to Avoid Precision Loss
How to avoid precision loss by overriding the data types in your model with scaled doubles.

Related Information

Data Type Exploration and Visualization of Signal Ranges