BaseSpectra¶
- class acoular.spectra.BaseSpectra¶
Bases:
HasPrivateTraits
- source = Trait(SamplesGenerator)¶
Data source;
SamplesGenerator
or derived object.
- numchannels = Delegate('source')¶
Number of time data channels
- window = Trait('Rectangular', …¶
Window function for FFT, one of: * ‘Rectangular’ (default) * ‘Hanning’ * ‘Hamming’ * ‘Bartlett’ * ‘Blackman’
- overlap = Trait('None', {'None':1, '50%':2, '75%':4, '87.5%':8}, …¶
Overlap factor for averaging: ‘None’(default), ‘50%’, ‘75%’, ‘87.5%’.
- block_size = Trait(1024, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, 32768, 65536, …¶
FFT block size, one of: 128, 256, 512, 1024, 2048 … 65536, defaults to 1024.
- precision = Trait('complex128', 'complex64', …¶
The floating-number-precision of entries of csm, eigenvalues and eigenvectors, corresponding to numpy dtypes. Default is 64 bit.
- fftfreq()¶
Return the Discrete Fourier Transform sample frequencies.
- Returns:
- fndarray
Array of length block_size/2+1 containing the sample frequencies.