Types/ noise_reconstruction

ConvexOptimization

class ConvexOptimization(*, regularization_hyperparameter, power_density_lower_bound, power_density_upper_bound)

Configuration for performing noise reconstruction with convex optimization.

Variables:

• regularization_hyperparameter (float) – The regularization hyperparameter \(\lambda\).

• power_density_lower_bound (float) – The lower bound for the reconstructed power spectral densities.

• power_density_upper_bound (float) – The upper bound for the reconstructed power spectral densities.