SubSampling

observations.tvb_monitors.SubSampling(voi=None, period=4.0)

Downsample timeseries by selecting every nth sample.

This is a simple point-wise downsampling strategy that picks samples at regular intervals without any averaging.

Attributes: voi: Variable of interest (state variable index) to extract. If None, uses all variables. period: Sampling period in milliseconds (default: 4.0)

Methods

Name	Description
prepare	Prepare point sampling for block-wise execution.

prepare

observations.tvb_monitors.SubSampling.prepare(grid, sample, variable_names)

Prepare point sampling for block-wise execution.

# SubSampling { #tvboptim.observations.tvb_monitors.SubSampling }

```python
observations.tvb_monitors.SubSampling(voi=None, period=4.0)
```

Downsample timeseries by selecting every nth sample.

This is a simple point-wise downsampling strategy that picks samples
at regular intervals without any averaging.

Attributes:
    voi: Variable of interest (state variable index) to extract.
         If None, uses all variables.
    period: Sampling period in milliseconds (default: 4.0)

## Methods

| Name | Description |
| --- | --- |
| [prepare](#tvboptim.observations.tvb_monitors.SubSampling.prepare) | Prepare point sampling for block-wise execution. |

### prepare { #tvboptim.observations.tvb_monitors.SubSampling.prepare }

```python
observations.tvb_monitors.SubSampling.prepare(grid, sample, variable_names)
```

Prepare point sampling for block-wise execution.