KAISER_BETA

The KAISER_BETA node is based on a numpy or scipy function. The description of that function is as follows: Compute the Kaiser parameter 'beta', given the attenuation 'a'. Params: a : float The desired attenuation in the stopband and maximum ripple in the passband, in dB. This should be a *positive* number. Returns: out : DataContainer type 'ordered pair', 'scalar', or 'matrix'

Python Code

from flojoy import OrderedPair, flojoy, Matrix, Scalar
import numpy as np

import scipy.signal


@flojoy
def KAISER_BETA(
    default: OrderedPair | Matrix,
) -> OrderedPair | Matrix | Scalar:
    """The KAISER_BETA node is based on a numpy or scipy function.

    The description of that function is as follows:

        Compute the Kaiser parameter 'beta', given the attenuation 'a'.

    Parameters
    ----------
    a : float
        The desired attenuation in the stopband and maximum ripple in
        the passband, in dB.  This should be a *positive* number.

    Returns
    -------
    DataContainer
        type 'ordered pair', 'scalar', or 'matrix'
    """

    result = scipy.signal.kaiser_beta(
        a=default.y,
    )

    if isinstance(result, np.ndarray):
        result = OrderedPair(x=default.x, y=result)
    else:
        assert isinstance(
            result, np.number | float | int
        ), f"Expected np.number, float or int for result, got {type(result)}"
        result = Scalar(c=float(result))

    return result

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