Binary numbers are represented as either fixed-point or floating-point data types.
Provides an overview of measurement scales and representing numbers.
Fixed-point hardware can provide benefits in size and power consumption, memory usage, speed, and cost.
How fixed-point data types are represented.
The quantization of a real-world value is represented by a weighted sum of bits.
Fixed-point data type and scaling notation used by Simulink®.
as a MATLAB® object, and gives the valid fields and settings for
How floating-point numbers are represented and manipulated.
Scaled doubles are a hybrid between floating-point and fixed-point numbers, stored by Fixed-Point Designer™ as doubles with the scaling, sign, and word length information retained.
Data types supported for simulation and code generation.
Explains the difference between fixed-point data types and built-in integer data types in MATLAB.
Describes the meaning of negative fraction length and fraction length greater than word length.
Basic information on using fi objects