Independent component analysis

Independent component analysis is a form of linear dimension reduction. The goal of independent component analysis is to form a linear map to features which are independent of one another.

Strictly if you previous features were and you map to then we want the following statements about Mutual information:

• for all , and
• To maximise .

This can be used to solve the Cocktail party problem.