Reshape 1D
Description
The signal operator block Reshape 1D
reshapes a long dataset into smaller pieces in a matrix. This is useful if you want to divide a long measurement into segments.
Using the block change the data from 180x1
into 60x3
. For example if you want to divide 3 hours into three different datasets.
Input
The input is single dimension Mx1
dataset.
Output
The output is the input dataset divided into several columns depend on Number of columns
.
Attributes
Attribute | Value |
---|---|
Name | Reshape1D |
Number of columns | ☐ 2 |
Channels | 1 |
Name
Name specifies the name of the block.
Number of columns
Number of columns is the number of columns the dataset should be divided into.
Channels
Channels specifies the number of input(s)/output(s) the block will have.