오버플로 및 정밀도 손실 감지

오버플로와 정밀도 손실 원인 디버그, 부동소수점 동작과 비교

오버플로, 정밀도 손실, 낭비된 범위 또는 정밀도의 원인을 식별하고 추적 및 디버그합니다. 임베디드 구현을 이상적인 부동소수점 동작과 비교합니다.

함수

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

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.

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.
Simulink 모델에서 오버플로 처리하기
모델에서 오버플로가 발생할 경우 받게 되는 경고 메시지를 제어합니다.
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.