CalibHelper¶

class spectacoular.lprocess.CalibHelper¶

Bases: TimeOut, BaseSpectacoular

Class for calibration of individual source channels

source = Instance(ac.Average)¶

Data source; Average or derived object.

file = File(filter=['*.xml'], desc="name of data file")¶

Name of the file to be saved. If none is given, the name will be automatically generated from a time stamp.

magnitude = Float(114, …¶

calibration level (e. g. dB or Pa) of calibration device

calibdata = CArray(dtype=float, …¶

calibration values determined during evaluation of result(). array of floats with dimension (num_channels, 2)

calibfactor = CArray(dtype=float, …¶

calibration factor determined during evaluation of save(). array of floats with dimension (num_channels)

buffer_size = Int(100, …¶

max elements/averaged blocks to calculate calibration value.

calibstd = Float(.5, …¶

channel-wise allowed standard deviation of calibration values in buffer

delta = Float(10, …¶

minimum allowed difference in magnitude between the channel to be calibrated and remaining channels.

result(num)¶

Python generator that yields the output block-wise.

Parameters:

numinteger, defaults to 128

This parameter defines the size of the blocks to be yielded (i.e. the number of samples per block) .

Returns:

Samples in blocks of shape (num, num_channels).

The last block may be shorter than num.