An Information Maximization Based Blind Source Separation Approach for Dependent and Independent Sources
An Information Maximization Based Blind Source Separation Approach for Dependent and Independent Sources
We introduce a new information maximization (infomax) approach for the blind source separation problem. The proposed framework provides an information-theoretic perspective for determinant maximization-based structured matrix factorization methods such as nonnegative and polytopic matrix factorization. For this purpose, we use an alternative joint entropy measure based on the log-determinant of …