sdynpy.signal_processing.sdynpy_srs.breakpoint_spectrum

• Module: sdynpy.signal_processing.sdynpy_srs

• Source: GitHub

Signature¶

def sdynpy.signal_processing.sdynpy_srs.breakpoint_spectrum(frequencies: numpy.ndarray, break_frequencies: numpy.ndarray, break_values: numpy.ndarray, floor: Optional[float] = None) -> numpy.ndarray

Evaluate a breakpoint-defined spectrum using log-log interpolation.

Parameters¶

• frequencies : ndarray Frequencies at which the spectrum should be evaluated.

• break_frequencies : ndarray Monotonically increasing breakpoint frequencies.

• break_values : ndarray Spectrum amplitudes at break_frequencies.

• floor : float, optional Value used outside the breakpoint range. If not provided, the default is min(break_values) / 1000.

Returns¶

• ndarray

• Spectrum amplitudes evaluated at frequencies.

Raises¶

• ValueError

• If any breakpoint frequencies or breakpoint amplitudes are not

• positive.

Notes¶

This function reproduces the numerical intent of MATLAB bpspec: straight lines on log-log axes between breakpoint pairs, with a constant floor outside the breakpoint range.