Reshape

R2026b

Change dimensionality of signal

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Reshape block

To add a block to a model, double-click the canvas and start typing the block name. Then, select the block from the list.

Libraries:
Simulink / Math Operations
HDL Coder / Math Operations

Description

The Reshape block changes the dimensionality of the input signal to a dimensionality that you specify, using the Output dimensionality parameter. For example, you can use the block to change an N-element vector to a 1-by-N or N-by-1 matrix signal.

Ports

Input

Port_1 — Input signal

scalar | vector | matrix

Input signal whose dimensions are changed based on the Output dimensionality parameter.

Data Types: half | single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | Boolean | fixed point | enumerated | bus

Output

Port_1 — Output signal

scalar | vector | matrix

Output signal created with the dimensions specified in the Output dimensionality parameter.

Data Types: half | single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | Boolean | fixed point | enumerated | bus

Parameters

Output dimensionality — Dimensions of output signal

1-D array (default) | Column vector (2-D) | Row vector (2-D) | Customize | Derive from reference input port

Specify the dimensionality of the output signal.

Output Dimensionality	Description
1-D array	Converts a multidimensional array to a vector (1-D array) array signal. The output vector consists of the first column of the input matrix followed by the second column, and so on. (This option leaves a vector input unchanged.)
Column vector	Converts a vector, matrix, or multidimensional input signal to a column matrix, a M-by-1 matrix, where M is the number of elements in the input signal. For matrices, the conversion is done in column-major order. For multidimensional arrays, the conversion is done along the first dimension.
Row vector	Converts a vector, matrix, or multidimensional input signal to a row matrix, a 1-by-N matrix where N is the number of elements in the input signal. For matrices, the conversion is done in column-major order. For multidimensional arrays, the conversion is done along the first dimension.
Customize	Converts the input signal to an output signal whose dimensions you specify, using the Output dimensions parameter. This option does not support variable-size input signals.
Derive from reference input port	Creates a second input port, Ref, on the block. Derives the dimensions of the output signal from the dimensions of the signal input to the Ref input port. Selecting this option disables the Output dimensions parameter. When you select this parameter, the input signals for both inport ports, U and Ref, must have the same sampling mode (sample-based or frame-based). This option does not support variable-size input signals.

Programmatic Use

Block Parameter: OutputDimensionality

Type: character vector

Value: '1-D array' | 'Column vector (2-D)' | 'Row vector (2-D)' | 'Customize' | 'Derive from reference input port'

Default: '1-D array'

Output dimensions — Custom dimensions of output signal

[1,1] (default) | [integer] | [integer,integer]

Specify the dimensions for the output signal. The value can be a one- or multi-element vector. A value of [N] outputs a vector of size N. A value of [M N] outputs an M-by-N matrix. The number of elements of the input signal must match the number of elements specified by the Output dimensions parameter. For multidimensional arrays, the conversion is done along the first dimension.

Dependency

To enable this parameter, set Output dimensionality to Customize.

Programmatic Use

Block Parameter: OutputDimensions

Type: character vector

Value: '[1,1]' | 'integer' | '[integer,integer]'

Default: '[1,1]'

Block Characteristics

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

Programmatic Use: Add Block

To add the block programmatically, use the add_block function with one of these library block paths as the source.

"simulink/Math Operations/Reshape"

"hdlsllib/Math Operations/Reshape"

Example: add_block("simulink/Math Operations/Reshape","myModel/myBlock",MakeNameUnique="on")

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

This block has one default HDL architecture.

HDL Block Properties

ConstrainedOutputPipeline	Number of registers to place at the outputs by moving existing delays in the design. Distributed pipelining does not redistribute these registers. The default value is 0. For more details, see ConstrainedOutputPipeline (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 value 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 value is 0. For more details, see OutputPipeline (HDL Coder).
SynthesisAttributes	Specifies the synthesis attributes for the blocks and block output signals in the model. The generated HDL code contains these attributes. For more information, see SynthesisAttributes (HDL Coder).

Complex Data Support

This block supports code generation for complex signals.

FOR-GENERATE Loop Support

For this block, HDL Coder generates code using FOR-GENERATE loop.

The loop unrolled code is generated when target language is Verilog^®. For more information, see Unroll For-Generate Loops (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

Introduced before R2006a