downsample_frame_flags¶
- sofia_redux.scan.integration.integration_numba_functions.downsample_frame_flags(flags, window, valid=None)[source]¶
Downsample frame flags using a supplied kernel.
The size of the window kernel determines the number of frames in the output downsampled data, and is given as:
(n_frames - window.size + 1) // (window.size // 2)
In other words, convolution only occurs at points where the window is fully applied over the initial data values, and is downsampled by a factor of half the window span. No convolution will occur a data point marked as invalid. In this case, the flag convolution refers to an
or
operation of all frame flags within the window span.- Parameters:
- flagsnumpy.ndarray (int)
A flag array of shape (n_frames, n_channels).
- windownumpy.ndarray (float)
The resampling kernel of size (n,) where n is an odd integer.
- validnumpy.ndarray (bool), optional
If supplied,
True
indicates a valid sample available for resampling.
- Returns:
- downsampled_datanumpy.ndarray (float)
The downsampled array of shape (new_frames, n_channels).