Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems

<table>Dataset: (a)
original 4 source signals, (b) observed 8 mixed signals.</table>

Computational Intelligence and Neuroscience

Figure 1: Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems 