Product of Elements

Copy or invert one scalar input, or collapse one nonscalar input

Libraries:
Simulink / Math Operations
HDL Coder / HDL Floating Point Operations
HDL Coder / Math Operations

Description

The Product of Elements block inputs one scalar, vector, or matrix. You can use the block to:

Copy a scalar input unchanged
Invert a scalar input (divide 1 by it)
Collapse a vector or matrix to a scalar by multiplying together all elements or taking successive inverses of the elements
Collapse a matrix to a vector using one of these options:
- Multiply together the elements of each row or column
- Take successive inverses of the elements of each row or column

The Product of Elements block is functionally a Product block that has two preset parameter values:

Multiplication: Element-wise(.*)
Number of inputs: *

Setting nondefault values for either of those parameters can change a Product of Elements block to be functionally equivalent to a Product block or a Divide block.

Examples

expand all

Element-Wise Multiplication and Division Using the Product of Elements Block

Open Model

This example shows how to use the Product of Elements block to perform element-wise multiplication and division of inputs.

Complex Division Using the Product of Elements Block

Open Model

This example shows how to perform element-wise complex division using the Product of Elements block.

The top Product of Elements block collapses the matrix input to a scalar by taking successive inverses of the four elements:

y = ((((1/2+i)/3)/4-i)/5)

The bottom Product of Elements block collapses the matrix input to a vector by taking successive inverses along the second dimension:

y(1) = ((1/2+i)/3)
y(2) = ((1/4-i)/5)

Ports

Input

expand all

Port_1 — First input to multiply or divide
scalar | vector | matrix | N-D array

First input to multiply or divide, provided as a scalar, vector, matrix, or N-D array.

Port_N — Nth input to multiply or divide
scalar | vector | matrix | N-D array

Nth input to multiply or divide, provided as a scalar, vector, matrix, or N-D array.

X — Input signal to multiply
scalar | vector | matrix | N-D array

Input signal to be multiplied with other inputs.

Dependencies

To enable one or more X ports, specify one or more * characters for the Number of inputs parameter.

÷ — Input signal to divide or invert
scalar | vector | matrix | N-D array

Input signal for division or inversion operations.

Dependencies

To enable one or more ÷ ports, specify one or more / characters for the Number of inputs parameter.

Output

expand all

Port_1 — Output computed by multiplying, dividing, or inverting inputs
scalar | vector | matrix | N-D array

Output computed by multiplying, dividing, or inverting inputs.

Parameters

expand all

Main

Number of inputs — Control number of inputs and type of operation
`` (default) | positive integer scalar | `` or `/` for each input port

Control two properties of the block:

The number of input ports on the block
Whether each input is multiplied or divided into the output

When you specify:

1 or * or /
The block has one input port. In element-wise mode, the block processes the input as described for the Product of Elements block. In matrix mode, if the parameter value is 1 or *, the block outputs the input value. If the value is /, the input must be a square matrix (including a scalar as a degenerate case) and the block outputs the matrix inverse. See Element-Wise Mode and Matrix Mode for more information.
Integer value > 1
The block has the number of inputs given by the integer value. The inputs are multiplied together in element-wise mode or matrix mode, as specified by the Multiplication parameter. See Element-Wise Mode and Matrix Mode for more information.
Unquoted string of two or more * and / characters
The block has the number of inputs given by the length of the character vector. Each input that corresponds to a * character is multiplied into the output. Each input that corresponds to a / character is divided into the output. The operations occur in element-wise mode or matrix mode, as specified by the Multiplication parameter. See Element-Wise Mode and Matrix Mode for more information.

Programmatic Use

Block Parameter: Inputs

Type: character vector

Values:

'2' | '*' | '**' | '*/' | '*/*' |
									...

Default: '*'

Multiplication — Element-wise (.) or Matrix () multiplication
`Element-wise(.)` (default) | `Matrix()`

Specify whether the block performs Element-wise(.*) or Matrix(*) multiplication.

Programmatic Use

Block Parameter: Multiplication

Type: character vector

Values: 'Element-wise(.*)' | 'Matrix(*)'

Default: 'Element-wise(.*)'

Apply over — How to apply function along specified dimensions
`All dimensions` (default) | `Specified dimension`

Specify how to apply the function along specified dimensions.

All dimensions — Apply function for all input values for all dimensions.
For example, in this model, Multiplication is set to Element-wise(.*), and Apply over is set to All dimensions. The block returns the product of all values from all dimensions.
When you select All dimensions and select the configuration parameter Use algorithms optimized for row-major array layout, Simulink^® enables row-major algorithms for simulation. To generate row-major code, set configuration parameter Array layout (Simulink Coder) to Row-major, and select Use algorithms optimized for row-major array layout. The column-major and row-major algorithms differ only in the multiplication order. In some cases, due to operation function order on the same data set, you might experience minor numeric differences in the outputs of column-major and row-major algorithms.
Specified dimensions — Apply function for all input values for specified dimension.

Dependencies

To enable this parameter, set Number of inputs to * and Multiplication to Element-wise (.*).

Programmatic Use

Block Parameter: CollapseMode

Type: character vector

Values:

'All dimensions' | 'Specified
									dimension'

Default: 'All dimensions'

Dimension — Dimension along which to multiply
`1` (default) | positive integer

Specify the dimension along which to multiply, as a positive integer. For example, for a 2-D matrix, 1 applies the function to each column, and 2 applies the function to each row.

For example, in this model, Multiplication is set to Element-wise(.*), Apply over is set to Specified dimension, and Dimension is set to 2. The block returns the product of all values from each row.

2D matrix with Constant block value [1 2 3;7 6 4] as input to Product block configured for dimension 2

Dependencies

To enable this parameter:

Set Number of inputs to *
Set Multiplication to Element-wise (.*)
Set Apply over to Specified dimension

Programmatic Use

Block Parameter: CollapseDim

Type: character vector

Values: '1' | '2' | ...

Default: '1'

Sample time (-1 for inherited) — Interval between samples
`-1` (default) | scalar | vector

Specify the time interval between samples. To inherit the sample time, set this parameter to -1. For more information, see Specify Sample Time.

Dependencies

This parameter is visible only if you set it to a value other than -1. To learn more, see Blocks for Which Sample Time Is Not Recommended.

Programmatic Use

To set the block parameter value programmatically, use the set_param function.

Parameter:	`SampleTime`
Values:	`"-1"` (default) \| scalar or vector in quotes

Signal Attributes

Require all inputs to have the same data type — Require that all inputs have the same data type
`off` (default) | `on`

Specify if input signals must all have the same data type. If you enable this parameter, then an error occurs during simulation if the input signal types are different.

Programmatic Use

Block Parameter: InputSameDT

Type: character vector

Values: 'off' | 'on'

Default: 'off'

Output minimum — Minimum output value for range checking
`[]` (default) | scalar

Lower value of the output range that the software checks.

The software uses the minimum to perform:

Parameter range checking (see Specify Minimum and Maximum Values for Block Parameters) for some blocks.
Simulation range checking (see Specify Signal Ranges and Enable Simulation Range Checking).
Automatic scaling of fixed-point data types.
Optimization of the code that you generate from the model. This optimization can remove algorithmic code and affect the results of some simulation modes such as SIL or external mode. For more information, see Optimize using the specified minimum and maximum values (Embedded Coder).

Tips

Output minimum does not saturate or clip the actual output signal. Use the Saturation block instead.

Programmatic Use

To set the block parameter value programmatically, use the set_param function.

Parameter:	`OutMin`
Values:	`'[]'` (default) \| scalar in quotes

Output maximum — Maximum output value for range checking
`[]` (default) | scalar

Upper value of the output range that the software checks.

The software uses the maximum value to perform:

Parameter range checking (see Specify Minimum and Maximum Values for Block Parameters) for some blocks.
Simulation range checking (see Specify Signal Ranges and Enable Simulation Range Checking).
Automatic scaling of fixed-point data types.
Optimization of the code that you generate from the model. This optimization can remove algorithmic code and affect the results of some simulation modes such as SIL or external mode. For more information, see Optimize using the specified minimum and maximum values (Embedded Coder).

Tips

Output maximum does not saturate or clip the actual output signal. Use the Saturation block instead.

Programmatic Use

To set the block parameter value programmatically, use the set_param function.

Parameter:	`OutMax`
Values:	`'[]'` (default) \| scalar in quotes

Output data type — Specify the output data type
`Inherit: Inherit via internal rule` (default) | `Inherit: Inherit via back propagation` | `Inherit: Same as first input` | `double` | `single` | `int8` | `uint8` | `int16` | `uint16` | `int32` | `uint32` | `int64` | `uint64` | `fixdt(1,16)` | `fixdt(1,16,0)` | `fixdt(1,16,2^0,0)` | `<data type expression>`

Choose the data type for the output. The type can be inherited, specified directly, or expressed as a data type object such as Simulink.NumericType. For more information, see Control Data Types of Signals.

When you select an inherited option, the block behaves as follows:

Inherit: Inherit via internal rule — Simulink chooses a data type to balance numerical accuracy, performance, and generated code size, while taking into account the properties of the embedded target hardware. If you change the embedded target settings, the data type selected by the internal rule might change. For example, if the block multiplies an input of type int8 by a gain of int16 and ASIC/FPGA is specified as the targeted hardware type, the output data type is sfix24. If Unspecified (assume 32-bit Generic), in other words, a generic 32-bit microprocessor, is specified as the target hardware, the output data type is int32. If none of the word lengths provided by the target microprocessor can accommodate the output range, Simulink software displays an error in the Diagnostic Viewer.
It is not always possible for the software to optimize code efficiency and numerical accuracy at the same time. If the internal rule doesn’t meet your specific needs for numerical accuracy or performance, use one of the following options:
- Specify the output data type explicitly.
- Use the simple choice of Inherit: Same as input.
- Explicitly specify a default data type such as fixdt(1,32,16) and then use the Fixed-Point Tool to propose data types for your model. For more information, see fxptdlg (Fixed-Point Designer).
- To specify your own inheritance rule, use Inherit: Inherit via back propagation and then use a Data Type Propagation block. Examples of how to use this block are available in the Signal Attributes library Data Type Propagation Examples block.
Inherit: Inherit via back propagation — Use data type of the driving block.
Inherit: Same as first input — Use data type of first input signal.

Dependencies

When input is a floating-point data type smaller than single precision, the Inherit: Inherit via internal rule output data type depends on the setting of the Inherit floating-point output type smaller than single precision configuration parameter. Data types are smaller than single precision when the number of bits needed to encode the data type is less than the 32 bits needed to encode the single-precision data type. For example, half and int16 are smaller than single precision.

Programmatic Use

Block Parameter: OutDataTypeStr

Type: character vector

Values:

'Inherit:
                                                Inherit via internal rule

| 'Inherit: Same as first input' |

'Inherit: Inherit via back
                                                propagation'

'<data type
                                        expression>'

Default:

'Inherit:
                                                Inherit via internal rule'

Lock output data type setting against changes by the fixed-point tools — Option to prevent fixed-point tools from overriding Output data type
`off` (default) | `on`

Select this parameter to prevent the fixed-point tools from overriding the Output data type you specify on the block. For more information, see Use Lock Output Data Type Setting (Fixed-Point Designer).

Programmatic Use

To set the block parameter value programmatically, use the set_param function.

Parameter:	`LockScale`
Values:	`'off'` (default) \| `'on'`

Integer rounding mode — Rounding mode for fixed-point operations
`Floor` (default) | `Ceiling` | `Convergent` | `Nearest` | `Round` | `Simplest` | `Zero`

Select the rounding mode for fixed-point operations. You can select:

Ceiling: Rounds positive and negative numbers toward positive infinity. Equivalent to the MATLAB^® ceil function.
Convergent: Rounds number to the nearest representable value. If a tie occurs, rounds to the nearest even integer. Equivalent to the Fixed-Point Designer™ convergent function.
Floor: Rounds positive and negative numbers toward negative infinity. Equivalent to the MATLAB floor function.
Nearest: Rounds number to the nearest representable value. If a tie occurs, rounds toward positive infinity. Equivalent to the Fixed-Point Designer nearest function.
Round: Rounds number to the nearest representable value. If a tie occurs, rounds positive numbers toward positive infinity and rounds negative numbers toward negative infinity. Equivalent to the Fixed-Point Designer round function.
Simplest: Chooses between rounding toward floor and rounding toward zero to generate rounding code that is as efficient as possible.
Zero: Rounds number toward zero. Equivalent to the MATLAB fix function.

For more information, see Rounding Modes (Fixed-Point Designer).

Block parameters always round to the nearest representable value. To control the rounding of a block parameter, enter an expression using a MATLAB rounding function into the mask field.

Programmatic Use

Block Parameter: RndMeth

Type: character vector

Values:

'Ceiling' | 'Convergent' | 'Floor' | 'Nearest' | 'Round' | 'Simplest' |
                        'Zero'

Default: 'Floor'

Saturate on integer overflow — Method of overflow action
`off` (default) | `on`

Specify whether overflows saturate or wrap.

on — Overflows saturate to either the minimum or maximum value that the data type can represent.
off — Overflows wrap to the appropriate value that the data type can represent.

For example, the maximum value that the signed 8-bit integer int8 can represent is 127. Any block operation result greater than this maximum value causes overflow of the 8-bit integer.

With this parameter selected, the block output saturates at 127. Similarly, the block output saturates at a minimum output value of -128.
With this parameter cleared, the software interprets the overflow-causing value as int8, which can produce an unintended result. For example, a block result of 130 (binary 1000 0010) expressed as int8 is -126.

Tips

Consider selecting this parameter when your model has a possible overflow and you want explicit saturation protection in the generated code.
Consider clearing this parameter when you want to optimize efficiency of your generated code. Clearing this parameter also helps you to avoid overspecifying how a block handles out-of-range signals. For more information, see Troubleshoot Signal Range Errors.
When you select this parameter, saturation applies to every internal operation on the block, not just the output or result.
In general, the code generation process can detect when overflow is not possible. In this case, the code generator does not produce saturation code.

Programmatic Use

To set the block parameter value programmatically, use the set_param function.

Parameter:	`SaturateOnIntegerOverflow`
Values:	`'off'` (default) \| `'on'`

Mode — Select data type mode
`Inherit` (default) | `Built in` | `Fixed Point`

Select the category of data to specify.

Inherit — Inheritance rules for data types. Selecting Inherit enables a second menu/text box to the right where you can select the inheritance mode.
Built in — Built-in data types. Selecting Built in enables a second menu/text box to the right where you can select a built-in data type.
Fixed point — Fixed-point data types. Selecting Fixed point enables additional parameters that you can use to specify a fixed-point data type.
Expression — Expressions that evaluate to data types. Selecting Expression enables a second menu/text box to the right, where you can enter the expression.

For more information, see Specify Data Types Using Data Type Assistant.

Dependencies

To enable this parameter, click the Show data type assistant button.

Data type override — Specify data type override mode for this signal
`Inherit` | `Off`

Select the data type override mode for this signal.

When you select Inherit, Simulink inherits the data type override setting from its context, that is, from the block, Simulink.Signal object or Stateflow^® chart in Simulink that is using the signal.
When you select Off, Simulink ignores the data type override setting of its context and uses the fixed-point data type specified for the signal.

For more information, see Specify Data Types Using Data Type Assistant in the Simulink documentation.

Dependencies

To enable this parameter, set Mode to Built in or Fixed point.

Tips

The ability to turn off data type override for an individual data type provides greater control over the data types in your model when you apply data type override. For example, you can use this option to ensure that data types meet the requirements of downstream blocks regardless of the data type override setting.

Signedness — Specify signed or unsigned
`Signed` (default) | `Unsigned`

Specify whether the fixed-point data is signed or unsigned. Signed data can represent positive and negative values, but unsigned data represents positive values only.

Signed, specifies the fixed-point data as signed.
Unsigned, specifies the fixed-point data as unsigned.

For more information, see Specify Data Types Using Data Type Assistant.

Dependencies

To enable this parameter, set the Mode to Fixed point.

Word length — Bit size of the word that holds the quantized integer
`16` (default) | integer from 0 to 32

Specify the bit size of the word that holds the quantized integer. For more information, see Specifying a Fixed-Point Data Type.

Dependencies

To enable this parameter, set Mode to Fixed point.

Fraction length — Specify fraction length for fixed-point data type
`0` (default) | scalar integer

Specify fraction length for fixed-point data type as a positive or negative integer. For more information, see Specifying a Fixed-Point Data Type.

Dependencies

To enable this parameter, set Scaling to Binary point.

Scaling — Method for scaling fixed-point data
`Best precision` (default) | `Binary point` | `Slope and bias`

Specify the method for scaling your fixed-point data to avoid overflow conditions and minimize quantization errors. For more information, see Specifying a Fixed-Point Data Type.

Dependencies

To enable this parameter, set Mode to Fixed point.

Slope — Specify slope for the fixed-point data type
`2^0` (default) | positive, real-valued scalar

Specify slope for the fixed-point data type. For more information, see Specifying a Fixed-Point Data Type.

Dependencies

To enable this parameter, set Scaling to Slope and bias.

Bias — Specify bias for the fixed-point data type
`0` (default) | real-valued scalar

Specify bias for the fixed-point data type as any real number. For more information, see Specifying a Fixed-Point Data Type.

Dependencies

To enable this parameter, set Scaling to Slope and bias.

Block Characteristics

Data Types	`Boolean` \| `double` \| `fixed point` \| `half` \| `integer` \| `single`
Direct Feedthrough	`yes`
Multidimensional Signals	`yes`
Variable-Size Signals	`yes`
Zero-Crossing Detection	`no`

Algorithms

The Product of Elements block uses these algorithms to perform element-wise operations on inputs of floating-point, built-in integer, and fixed-point types.

Input	Element-Wise Operation	Algorithm
Real scalar, `u`	Multiplication	`y = u`
Real scalar, `u`	Division	`y = 1/u`
Real vector or matrix with elements `u1, u2, u3, ..., uN`	Multiplication	`y = u1u2u3...uN`
Real vector or matrix with elements `u1, u2, u3, ..., uN`	Division	`y = ((((1/u1)/u2)/u3).../uN)`
Complex scalar, `u`	Multiplication	`y = u`
Complex scalar, `u`	Division	`y = 1/u`
Complex vector or matrix with elements `u1, u2, u3, ..., uN`	Multiplication	`y = u1u2u3...uN`
	Division	`y = ((((1/u1)/u2)/u3).../uN)`

If the specified dimension for element-wise multiplication or division is a row or column of a matrix, the algorithm applies to that row or column. Consider the Complex Division Using the Product of Elements Block example.

The top Product of Elements block collapses the matrix input to a scalar by taking successive inverses of the four elements:

y = ((((1/2+i)/3)/4-i)/5)

The bottom Product of Elements block collapses the matrix input to a vector by taking successive inverses along the second dimension:

y(1) = ((1/2+i)/3)
y(2) = ((1/4-i)/5)

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™.

HDL Coder™ provides additional configuration options that affect HDL implementation and synthesized logic.

HDL Architecture

HDL Coder supports Tree architectures for Product or Product of Elements blocks that have a single vector input with multiple elements.

Architecture	Description
`Linear` (default)	Generates a linear chain of adders to compute the sum of products.
`Tree`	Generates a tree structure of adders to compute the sum of products.

HDL Block Properties

If you use the block in matrix multiplication mode, you can specify the DotProductStrategy. This setting determines whether you want to implement the matrix multiplication by using a tree of adders and multipliers, or use the Multiply-Accumulate block implementation. The default is Fully Parallel.

Note

The DotProductStrategy must be set to Fully Parallel when you use the Native Floating Point mode.

For more information, see DotProductStrategy (HDL Coder).

See also Design Considerations for Matrices and Vectors (HDL Coder).

General
ConstrainedOutputPipeline	Number of registers to place at the outputs by moving existing delays within your design. Distributed pipelining does not redistribute these registers. The default is `0`. For more details, see ConstrainedOutputPipeline (HDL Coder).
DSPStyle	Synthesis attributes for multiplier mapping. The default is `none`. See also DSPStyle (HDL Coder).
InputPipeline	Number of input pipeline stages to insert in the generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is `0`. For more details, see InputPipeline (HDL Coder).
OutputPipeline	Number of output pipeline stages to insert in the generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is `0`. For more details, see OutputPipeline (HDL Coder).

Native Floating Point
HandleDenormals	Specify whether you want HDL Coder to insert additional logic to handle denormal numbers in your design. Denormal numbers are numbers that have magnitudes less than the smallest floating-point number that can be represented without leading zeros in the mantissa. The default is `inherit`. See also HandleDenormals (HDL Coder).
LatencyStrategy	Specify whether to map the blocks in your design to `inherit`, `Max`, `Min`, `Zero`, or `Custom` for the floating-point operator. The default is `inherit`. See also LatencyStrategy (HDL Coder).
NFPCustomLatency	To specify a value, set LatencyStrategy to `Custom`. HDL Coder adds latency equal to the value that you specify for the NFPCustomLatency setting. See also NFPCustomLatency (HDL Coder).
MantissaMultiplyStrategy	Specify how to implement the mantissa multiplication operation during code generation. By using different settings, you can control the DSP usage on the target FPGA device. The default is `inherit`. See also MantissaMultiplyStrategy (HDL Coder).

Complex Data Support

The default (linear) implementation supports complex data.

Complex division is not supported. For block implementations of the Product block in divide mode or reciprocal mode, see HDL Code Generation on the Divide block reference page.

PLC Code Generation
Generate Structured Text code using Simulink® PLC Coder™.

Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.

Version History

Introduced before R2006a

Product of Elements

Description

Examples

Element-Wise Multiplication and Division Using the Product of Elements Block

Complex Division Using the Product of Elements Block

Ports

Input

Port_1 — First input to multiply or divide scalar | vector | matrix | N-D array

Port_N — Nth input to multiply or divide scalar | vector | matrix | N-D array

X — Input signal to multiply scalar | vector | matrix | N-D array

Dependencies

÷ — Input signal to divide or invert scalar | vector | matrix | N-D array

Dependencies

Output

Port_1 — Output computed by multiplying, dividing, or inverting inputs scalar | vector | matrix | N-D array

Parameters

Main

Number of inputs — Control number of inputs and type of operation * (default) | positive integer scalar | * or / for each input port

Programmatic Use

Multiplication — Element-wise (.*) or Matrix (*) multiplication Element-wise(.*) (default) | Matrix(*)

Programmatic Use

Apply over — How to apply function along specified dimensions All dimensions (default) | Specified dimension

Dependencies

Programmatic Use

Dimension — Dimension along which to multiply 1 (default) | positive integer

Dependencies

Programmatic Use

Sample time (-1 for inherited) — Interval between samples -1 (default) | scalar | vector

Dependencies

Programmatic Use

Signal Attributes

Require all inputs to have the same data type — Require that all inputs have the same data type off (default) | on

Programmatic Use

Output minimum — Minimum output value for range checking [] (default) | scalar

Tips

Programmatic Use

Output maximum — Maximum output value for range checking [] (default) | scalar

Tips

Programmatic Use

Dependencies

Programmatic Use

Lock output data type setting against changes by the fixed-point tools — Option to prevent fixed-point tools from overriding Output data type off (default) | on

Programmatic Use

Integer rounding mode — Rounding mode for fixed-point operations Floor (default) | Ceiling | Convergent | Nearest | Round | Simplest | Zero

Programmatic Use

Saturate on integer overflow — Method of overflow action off (default) | on

Tips

Programmatic Use

Mode — Select data type mode Inherit (default) | Built in | Fixed Point

Dependencies

Data type override — Specify data type override mode for this signal Inherit | Off

Dependencies

Tips

Signedness — Specify signed or unsigned Signed (default) | Unsigned

Dependencies

Word length — Bit size of the word that holds the quantized integer 16 (default) | integer from 0 to 32

Dependencies

Fraction length — Specify fraction length for fixed-point data type 0 (default) | scalar integer

Dependencies

Scaling — Method for scaling fixed-point data Best precision (default) | Binary point | Slope and bias

Dependencies

Slope — Specify slope for the fixed-point data type 2^0 (default) | positive, real-valued scalar

Dependencies

Bias — Specify bias for the fixed-point data type 0 (default) | real-valued scalar

Dependencies

Block Characteristics

Algorithms

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™.

PLC Code Generation Generate Structured Text code using Simulink® PLC Coder™.

Fixed-Point Conversion Design and simulate fixed-point systems using Fixed-Point Designer™.

Version History

See Also

Port_1 — First input to multiply or divide
scalar | vector | matrix | N-D array

Port_N — Nth input to multiply or divide
scalar | vector | matrix | N-D array

X — Input signal to multiply
scalar | vector | matrix | N-D array

÷ — Input signal to divide or invert
scalar | vector | matrix | N-D array

Port_1 — Output computed by multiplying, dividing, or inverting inputs
scalar | vector | matrix | N-D array

Number of inputs — Control number of inputs and type of operation
`` (default) | positive integer scalar | `` or `/` for each input port

Multiplication — Element-wise (.) or Matrix () multiplication
`Element-wise(.)` (default) | `Matrix()`

Apply over — How to apply function along specified dimensions
`All dimensions` (default) | `Specified dimension`

Dimension — Dimension along which to multiply
`1` (default) | positive integer

Sample time (-1 for inherited) — Interval between samples
`-1` (default) | scalar | vector

Require all inputs to have the same data type — Require that all inputs have the same data type
`off` (default) | `on`

Output minimum — Minimum output value for range checking
`[]` (default) | scalar

Output maximum — Maximum output value for range checking
`[]` (default) | scalar

Lock output data type setting against changes by the fixed-point tools — Option to prevent fixed-point tools from overriding Output data type
`off` (default) | `on`

Integer rounding mode — Rounding mode for fixed-point operations
`Floor` (default) | `Ceiling` | `Convergent` | `Nearest` | `Round` | `Simplest` | `Zero`

Saturate on integer overflow — Method of overflow action
`off` (default) | `on`

Mode — Select data type mode
`Inherit` (default) | `Built in` | `Fixed Point`

Data type override — Specify data type override mode for this signal
`Inherit` | `Off`

Signedness — Specify signed or unsigned
`Signed` (default) | `Unsigned`

Word length — Bit size of the word that holds the quantized integer
`16` (default) | integer from 0 to 32

Fraction length — Specify fraction length for fixed-point data type
`0` (default) | scalar integer

Scaling — Method for scaling fixed-point data
`Best precision` (default) | `Binary point` | `Slope and bias`

Slope — Specify slope for the fixed-point data type
`2^0` (default) | positive, real-valued scalar

Bias — Specify bias for the fixed-point data type
`0` (default) | real-valued scalar

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™.

PLC Code Generation
Generate Structured Text code using Simulink® PLC Coder™.

Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.