Neural networks for blind decorrelation of signals

Statistical analyses facilitated the derivation of two adaptive network structures for liner-phase temporal and spatial cleaning of multichannel signals. Simulations of network operation indicate the viability of the approach for decorrelating signals in space and time. The network combines an a posteriori error criterion and a system for spatial and temporal decorrelation. These methods can be useful in a variety of communications, control and signal processing applications.