2024-11-0920050-7803-8874-71520-6149N/A2-s2.0-33646809775https://hdl.handle.net/20.500.14288/12758A novel blind source separation approach for channels with and without memory is introduced. The proposed approach makes use of pre-whitening procedure to convert the original convolutive channel into a lossless and memoryless one. Then a blind subgradient algorithm, which corresponds to an l(infinity) norm based criterion, is used for the separation of sources. The proposed separation algorithm exploits the assumed boundedness of the original sources and it has a simple update rule. The typical performance of the algorithm is illustrated through simulation examples where separation is achieved with only small numbers of iterations.Computer scienceArtificial intelligenceEngineeringElectrical and electronicConference proceeding2294042040452430