noise_reconstruction

Classes

`ConvexOptimization`	Configuration for performing noise reconstruction with convex optimization.
`EntropyTruncation`	Configuration for entropy-based truncation.
`FilterFunction`	A filter function used as an input to a noise reconstruction.
`FilterFunctionSample`	A sample of a filter function.
`FixedLengthTruncation`	Configuration for fixed length truncation.
`Measurement`	A measurement taken as part of a noise reconstruction.
`Method`	The method used to perform a noise reconstruction.
`Noise`	Description of a noise to be reconstructed.
`PowerSpectralDensity`	A reconstructed power spectral density associated with a noise.
`PowerSpectralDensitySample`	A sample from a power spectral density.
`Result`	Estimation \(S_{k, \mathrm{est}}\) of noise PSD at frequencies that you provide in filter function samples.
`SingularValueDecomposition`	Configuration for performing noise reconstruction with singular value decomposition.
`SingularValueTruncation`	Configuration for truncating singular values.