Identify, trace, and debug sources of overflow, precision loss, and wasted range or precision. Compare embedded implementation against ideal floating-point behavior.
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.
This example shows how to compute and compare the statistics of the signal quantization error when using various rounding methods.
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.
Visualize numerical differences during fixed-point conversion.
Detect overflows using the app.
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.