Concatenate input signals of same data type to create contiguous output signal
Math Operations, Signal Routing
The Concatenate block concatenates the signals at its inputs to create an output signal whose elements reside in contiguous locations in memory.
Tip The Concatenate block is useful for creating an output signal that is nonvirtual. However, to create a vector of function calls, use a Mux block instead. |
You use a Concatenate block to define an array of buses. For details about defining an array of buses, see Combine Buses into an Array of Buses.
The Concatenate block operates in either vector or multidimensional array concatenation mode, depending on the setting of its Mode parameter. In either case, the block concatenates the inputs from the top to bottom, or left to right, input ports.
In vector mode, all input signals must be either vectors or row vectors [1xM matrices] or column vectors [Mx1 matrices] or a combination of vectors and either row or column vectors. The output is a vector if all inputs are vectors.
The output is a row or column vector if any of the inputs are row or column vectors, respectively.
Multidimensional array mode accepts vectors and arrays of any
size. It assumes that the trailing dimensions are all ones for input
signals with lower dimensionality. For example, if the output is 4-D
and the input is [2x3]
(2-D) this block treats
the input as [2x3x1x1]
. The output is always an
array. The block's Concatenate dimension parameter
allows you to specify the output dimension along which the block concatenates
its input arrays.
If you set the Concatenate dimension parameter
to 2
and inputs are 2-D matrices, the block performs
horizontal matrix concatenation and places the input matrices side-by-side
to create the output matrix, for
examplefor
example:
If you set the Concatenate dimension parameter
to 1
and inputs are 2-D matrices, the block performs
vertical matrix concatenation and stacks the input matrices on top
of each other to create the output matrix, for
examplefor
example:
For horizontal concatenation, the input matrices must have the same column dimension. For vertical concatenation, the input matrices must have the same row dimension. All input signals must have the same dimension for all dimensions other than the concatenation dimensions.
If you set the Mode parameter to Multidimensional
array
, the Concatenate dimension parameter
to 3
, and the inputs are 2-D matrices, the block
performs multidimensional matrix concatenation, for
examplefor
example:
Accepts signals of any data type that Simulink^{®} supports. All inputs must be of the same data type. Outputs have the same data type as the input.
For more information, see Data Types Supported by Simulink in the Simulink documentation.
The parameters and dialog box differ, based on the mode in which the block is operating: vector or matrix. Most parameters exist in both modes.
The dialog box for the Vector Concatenate block appears as follows.
The dialog box for the Matrix Concatenate block appears as follows.
Specifies the number of inputs for the block.
Default: 2
See Block-Specific Parameters for the command-line information.
Select the type of concatenation that this block performs.
Default: Vector
(for
the Vector Concatenate block), Multidimensional array
(for
the Matrix Concatenate block)
Vector
Perform vector concatenation (see Vector Mode for details).
Multidimensional array
Perform matrix concatenation (see Multidimensional Array Mode for details).
This parameter enables Concatenate dimension.
See Block-Specific Parameters for the command-line information.
Specifies the output dimension along which to concatenate the input arrays.
Default: 2
Enter 1
to concatenate input arrays
vertically.
Enter 2
to concatenate input arrays
horizontally.
Enter a higher dimension to perform multidimensional concatenation on the inputs.
Selecting Multidimensional array
for Mode enables
this parameter.
See Block-Specific Parameters for the command-line information.
Direct Feedthrough | Yes |
Sample Time | Inherited from driving block |
Scalar Expansion | No |
Dimensionalized | Yes |
Multidimensionalized | Yes |
Zero-Crossing Detection | No |
cat
in the MATLAB^{®} reference
documentation