Simulink Reference    
Reshape

Change the dimensionality of a signal

Library

Math Operations

Description


The Reshape block changes the dimensionality of the input signal to a dimensionality that you specify, using the block's 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, and vice versa.

The Output dimensionality parameter lets you select any of the following output options.

Output Dimensionality

Description
1-D array
Converts a matrix (2-D 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, etc. (This option leaves a vector input unchanged.)
Column vector
Converts a vector or matrix input signal to a column matrix, i.e., an 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.
Row vector
Converts a vector or matrix input signal to a row matrix, i.e., 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.
Customize
Converts the input signal to an output signal whose dimensions you specify, using the Output dimensions parameter. The value of the Output dimensions parameter can be a one- or two-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 matrices, the conversion is done in column-major order.

Data Type Support

The Reshape block accepts and outputs signals of any data type, including fixed-point data types, except int64 and uint64.

Parameters and Dialog Box

Output dimensionality
The dimensionality of the output signal.
Output dimensions
Specifies a custom output dimensionality. This option is enabled only if you select Customize as the value of the Output dimensionality parameter.

Characteristics

Direct Feedthrough
Yes
Sample Time
Inherited from driving block
Scalar Expansion
N/A
Dimensionalized
Yes
Zero Crossing
No


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