Simulink Blocks Supported by Using Native Floating Point

HDL Coder™ native floating point can generate target-independent HDL code from your floating-point design. You can synthesize your floating-point design on any generic FPGA or ASIC. Floating-point designs have better precision, higher dynamic range, and a shorter development cycle than fixed-point designs. If your design has complex math and trigonometric operations, use native floating-point technology.

HDL Coder supports several Simulink^®blocks, including math and trigonometric blocks by using native floating-point technology.

HDL Floating Point Operations Library

In theHDL Floating Point Operationslibrary, HDL Coder supports blocks that havesingleanddoubledata types in theNative Floating Pointmode. For certain blocks, such asDiscrete-Time IntegratorandDiscrete PID Controller, use zero latency strategy. These blocks contain inherent feedback loops and using a non-value for the latency strategy can result in the code generator not allocating delays. For more information, seeAllocate Sufficient Delays for Floating-Point Operations.

When you usehalftypes, these blocks are supported inNative Floating Pointmode.

Supported金宝appBlocks in Math Operations Library

In theMath Operationslibrary, these blocks are supported for HDL code generation:

Block Name	Supported by Half Data Types	Supported by Single Data Types	Supported by Double Data types	Complex Data Support	Remarks
Abs	No	Yes	Yes	Yes	Not Applicable
Add	Yes	Yes	Yes	Yes	Not applicable
Assignment	No	Yes	Yes	Yes	Not applicable
Bias	No	Yes	Yes	Yes	Not applicable
Complex to Real-Imag	No	Yes	Yes	Yes	Not applicable
Divide	Yes	Yes	Yes	No	Not applicable
Dot Product	Yes	Yes	Yes	No	Not applicable
Gain	Yes	Yes	Yes	Yes	Not applicable
MinMax	No	Yes	Yes	No	Not applicable
Multiply-Add	Yes	Yes	Yes	Yes	Not applicable
Product	Yes	Yes	Yes	Yes	If you configure the block to perform matrix multiplication by setting theMultiplicationblock parameter to`Matrix(*)`, theDotProductStrategymust be set to`Fully Parallel`.
Product of Elements	Yes	Yes	Yes	Yes	Not applicable
Real-Imag to Complex	No	Yes	Yes	No	Not applicable
Reciprocal Sqrt	No	Yes	Yes	No	Not applicable
Reshape	Yes	Yes	Yes	Yes	Not applicable
Sqrt	No	Yes	Yes	No	Not applicable
Subtract	Yes	Yes	Yes	Yes	Not applicable
Sum	Yes	Yes	Yes	Yes	Not applicable
Sum of Elements	Yes	Yes	Yes	Yes	Not applicable
Trigonometric Function	No	Yes	No	No	Not applicable
Unary Minus	Yes	Yes	Yes	Yes	Not applicable
Vector Concatenate, Matrix Concatenate	Yes	Yes	Yes	Yes	Not applicable

Supported Functions in Math Function Block

In theMath Functionblock, these functions are supported for HDL code generation:

Math Functions	Supported Floating-Point Datatypes			Complex Data Support
Math Functions	Half	Single	Double	Complex Data Support
`exp`	No	Yes	No	No
`log`	No	Yes	Yes	No
`10^u`	No	Yes	No	No
`log10`	No	Yes	No	No
`magnitude^2`	No	Yes	Yes	Yes
`square`	No	Yes	No	Yes
`pow`	No	Yes	No	No
`conj`	No	Yes	No	Yes
`reciprocal`	Yes	Yes	Yes	No
`hypot`	No	Yes	No	No
`rem`	No	Yes	No	No
`mod`	No	Yes	No	No
`transpose`	Yes	Yes	Yes	Yes
`hermitian`	No	Yes	No	Yes

Supported金宝appBlocks in Other Libraries

The table shows the list of supported blocks for HDL code generation in otherHDL Coderblock libraries.

Block Library	Supported by Half Data Types	Supported by Single Data Types	Supported by Double Data Types
Discrete	The supported blocks include the set of delay blocks including the synchronous blocks, andInteger Delay, andTapped Delay.	The supported blocks include: Zero Order Hold Set of delay blocks including the synchronous blocks, andInteger Delay, andTapped Delay.	The supported blocks include: Zero Order Hold Set of delay blocks including the synchronous blocks, andInteger Delay, andTapped Delay.
HDL Operations	Blocks in this library are not supported.	All blocks are supported.	All blocks are supported.
HDL RAMs	Blocks in this library are not supported.	All blocks are supported.	All blocks are supported.
HDL Subsystems	All blocks are supported.	All blocks are supported.	All blocks are supported.
Logic and Bit Operations	Supported blocks include: Compare to Constant Relational Operator Logical Operator Detect Change Detect Increase Detect Decrease	All blocks are supported.	All blocks are supported.
Lookup Tables	Blocks in this library are not supported.	All blocks are supported.	All blocks are supported.
Model Verification	Blocks in this library are not supported.	All blocks are supported.	All blocks are supported.
Model-Wide Utilities	Blocks in this library are not supported.	All blocks are supported.	All blocks are supported.
Ports & Subsystems	Enable, reset, input, and output ports, model references, and subsystem blocks are supported.	Enable, reset, input, and output ports, model references, and subsystem blocks are supported.	Enable, reset, input, and output ports, model references, and subsystem blocks are supported.
Signal Attributes	Supported blocks include: Data Type Conversion Data Type Duplicate Rate Transition Signal Specification Signal Conversion Bus to Vector Probe	All blocks are supported.	All blocks are supported.
Signal Routing	All blocks are supported.	All blocks are supported.	All blocks are supported.
Sources	The supported blocks includeInport,Constant, andGroundblocks.	The supported blocks includeInport,Constant, andGroundblocks.	The supported blocks includeInport,Constant, andGroundblocks.
Sinks	All blocks are supported.	All blocks are supported.	All blocks are supported.
User-Defined Functions	MATLAB Functionblocks are supported.	MATLAB Functionblocks are supported.	MATLAB Functionblocks are supported.

金宝appBlock Restrictions

在本机浮点模式中,代码生成器does not support these blocks or block architectures:

Biquad Filter.
Sum of Elementswith complex input types.
MATLAB Systemblocks.
Dot Productin complex mode withArchitectureasTreeorLinear.
Discrete FIR FilterwithArchitectureother thanFully Parallel.
Dead ZoneandDead Zone Dynamic.
Polar to Cartesian.
For theData Type Conversionblock:
- Stored Integer (SI)mode forInput and output to have equalsetting is not supported.
- TheSaturate on integer overflowcheck box must be left cleared.

Related Examples

Floating Point Support: Field-Oriented Control Algorithm