Adaptive Identification Of Acoustic Multichannel Systems Using Sparse Representa

This Book Treats The Topic Of Extending The Adaptive Filtering Theory In The Context Of Massive Multichannel Systems By Taking Into Account A Priori Knowledge Of The Underlying System Or Signal. The Starting Point Is Exploiting The Sparseness In Acoustic Multichannel System In Order To Solve The Non-uniqueness Problem With An Efficient Algorithm For Adaptive Filtering That Does Not Require Any Modification Of The Loudspeaker Signals.the Book Discusses In Detail The Derivation Of General Sparse Representations Of Acoustic Mimo Systems In Signal Or System Dependent Transform Domains. Efficient Adaptive Filtering Algorithms In The Transform Domains Are Presented And The Relation Between The Signal- And The System-based Sparse Representations Is Emphasized.