Window The window filter extracts a portion of a signal by cutting it to a specified range. This is commonly used to isolate a time interval of interest — for example, removing initial transient effects or focusing on a specific event within a longer simulation. The filter supports both time-based and index-based windowing. 1. Description The filter truncates the input signal from a user-specified start to a user-specified end. In time-based mode, the start and end are given as values on the time axis (or X axis for XY series). In index-based mode, integer sample indices define the window bounds directly. When windowing a time series, the output signal’s start time and time step are adjusted to reflect the extracted portion. For XY series, the X values are preserved from the windowed region. An optional start value offset can shift the X axis of the output so that the extracted window begins at a chosen value. This is useful when the downstream analysis expects a signal starting at zero. 2. Fields Use Index: when enabled, the window boundaries are defined by sample indices instead of time/X values When Use Index is enabled: Start Index: first sample index to include in the output End Index: last sample index to include. If not set, the signal is kept to the end When Use Index is disabled: Start: start of the window on the time or X axis End: end of the window on the time or X axis Set Start Value: when enabled, shifts the output X axis so it begins at the specified start value When Set Start Value is enabled: Start Value: the X axis value assigned to the first sample in the output 3. Input One input slot accepting equidistant time series or XY series. See Signal Types. 4. Output Truncated signal containing only the samples within the specified window. The output retains the same signal type as the input. Select Index Compare