Non-gaussianity

Fastica algorithm

Fastica algorithm
  1. How does FastICA work?
  2. Which algorithm deals with the independent components?

How does FastICA work?

Like most ICA algorithms, FastICA seeks an orthogonal rotation of prewhitened data, through a fixed-point iteration scheme, that maximizes a measure of non-Gaussianity of the rotated components.

Which algorithm deals with the independent components?

ICA uses the idea of non-Gaussianity to uncover independent components. Non-Gaussianity quantifies how far the distribution of a random variable is from being Gaussian. Example measures of non-Gaussianity are kurtosis and negentropy.

Frequency How does phase wrapping leads to unwanted high frequency spikes in the instantaneous frequency vs time curve of analytic signal?
How does phase wrapping leads to unwanted high frequency spikes in the instantaneous frequency vs time curve of analytic signal?
How are instantaneous phase and frequency related?What is instantaneous frequency in frequency modulation?Why is instantaneous frequency important?Wh...
Label Using Soft Labels in Classification Models
Using Soft Labels in Classification Models
What are soft labels in machine learning?What is soft labels in deep learning?What are soft labels vs hard labels?How do you label in binary classifi...
Hilbert Can humans hear Hilbert transform in audio?
Can humans hear Hilbert transform in audio?
Can humans hear Hilbert transform in audio? Generally no. The human auditory system is fairly insensitive to monaural phase shifts. What is Hilbert tr...