Precision is limited by slope. To achieve maximum precision, you should make the slope as small as possible while keeping the range adequately large.
Fixed-point variables have a limited precision because digital systems represent numbers with a finite number of bits.
Padding with trailing zeros involves extending the least significant bit (LSB) of a number with extra bits. This method involves going from low precision to higher precision.
Receive alerts when fixed-point constant precision issues occur.
This example shows how to detect fixed-point constant precision loss.
Provides an overview of issues that need to be considered when performing fixed-point arithmetic operations—overflow, quantization, computational noise, and limit cycles
Computer words consist of a finite numbers of bits. This means that the binary encoding of variables is only an approximation of an arbitrarily precise real-world value.
Describes the rules that the Simulink® software follows when arithmetic operations are performed on inputs and parameters.
Represent a fixed-point number by a general slope and bias encoding scheme.
Rounding involves going from high precision to lower precision and produces quantization errors and computational noise.
Fixed-point Simulink blocks support seven different rounding modes.