SVDdecomposition
It computes the economy sized SVD of the M-by-N input matrix A by finding U, S and V such that A=U*S*V'. The output S is a vector composed of the singular values. If you want, you can have two other outputs: the unitary matrices U and V. In this case, outputs are U, Singular value and V.
Library
MatrixOperations
Description
The SVDdecomposition block computes the economy sized SVD of the M-by-N input matrix A by finding U,S and V such that A=U*S*V'.
The input matrix can be either of type Double or type Complex.
Upon the value of the decomposition type parameter the output is either a vector composed of the singular values, three outputs are computed: a diagonal matrix S composed of the singular values and the unitary matrices U and V.
The input matrix can be either of type Double or type Complex.
Parameters
| Name | Label | Description | Data Type | Valid Values |
|---|---|---|---|---|
decomptyp | Output for U and V matrices | Defines the outputs. By default, the output is a vector S, composed of the singular values. | Number | 0 |
externalActivation | External activation | Specifies whether the block receives an external activation or inherits its activation through its regular input ports. When External Activation is selected, an additional activation port is added to the block. By default, external activation is not selected. | Number | 0 |
Ports
| Name | Type | Description | IO Type | Number |
|---|---|---|---|---|
Port 1 | explicit | input | 1 | |
S | explicit | output | 1 | |
Port 3 | explicit | output | 2*decomptyp | |
Port 4 | activation | input | externalActivation |
Advanced Properties
| Name | Value | Description |
|---|---|---|
always active | no | |
direct-feedthrough | yes | |
zero-crossing | no | |
mode | no | |
continuous-time state | no | |
discrete-time state | no |