Float Typecast

R2026b

Typecast data between unsigned integers and floating-point data types

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Float Typecast block

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Libraries:
HDL Coder / HDL Floating Point Operations

Description

The Float Typecast block typecasts the underlying bits of the input signal to the corresponding fixed-point or floating-point representation. The input and output of the block contain the same number of bits. This table shows the supported input and corresponding output data types.

Input Data Type	Output Data Type
half	uint16
single	uint32
double	uint64
uint32	single
uint64	double
uint16	half

This figure shows how the block mask, behavior, and output data type change depending on the input data type.

Examples

Simulate and Generate HDL Code for the Float Typecast Block

Use the Float Typecast block to cast an input signal to floating-point or fixed-point.

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Ports

Input

Port_1(u) — Input signal

scalar | vector | matrix

Input signal, specified as a scalar, vector, or matrix.

Data Types: half | single | double | uint16 | uint32 | uint64

Output

Port_1(y) — Output signal

scalar | vector | matrix

Output signal, returned as a scalar, vector, or matrix.

Data Types: half | single | double | uint16 | uint32 | uint64

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

HDL Code Generation

Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™.

You can generate HDL code from the Float Typecast block when you set Use Floating Point to on.

When you use floating-point data types, the HDL Code Advisor can replace Data Type Conversion blocks that set the Input and output to have equal parameter to Stored Integer (SI) and convert between floating-point and unsigned integer data types with the Float Typecast block. The Float Typecast block reinterprets the underlying bits without performing a numeric conversion. For more information, see Check for Data Type Conversion blocks with incompatible settings.

This block supports HDL code generation for complex signals and for scalar, vector, 2-D, and 3-D input data.

You can use this block in models that use the frame-to-sample conversion optimization. For example, you can use this block in designs for AXI4-Stream Video interfaces that reinterpret casting between floating-point and integer data types.

Version History

Introduced in R2017b

R2026b: Support for multidimensional data

The Float Typecast block supports HDL code generation for scalar, vector, 2-D, and 3-D data. Additionally, you can use the block in models that use the frame-to-sample conversion optimization.