bispy.signals.bivariateAMFM

bispy.signals.bivariateAMFM(a, theta, chi, phi, Hembedding=True, complexOutput=False)[source]

Construct a bivariate AM-FM model with specified parameters.

The output x[n] is constructed as:

x[n] = a[n] * np.exp(i * theta[n]) * np.exp(-k * chi[n]) * np.exp(j * phi[n])

Parameters:

a, theta, chi, phiarray_type: These are instantaneous geometrical and phase parameters.
Hembeddingbool, optional: If True, returns the H-embedding signal of x, otherwise returns x (1, i)-complex (as a quaternion array). Default is True.
complexOutputbool, optional: If True, output is a complex numpy array. Otherwise output is a quaternion numpy array. Default is False.

Returns: