The Generalized Frequency-Domain Adaptive Filtering Algorithm Implemented on a GPU for Large-Scale Multichannel Acoustic Echo Cancellation. - Martin Schneider 009; Florian Schuh; Walter Kellermann (ITG Conference on Speech Communication, 2012)

A direct derivation of transforms for wave-domain adaptive filtering based on circular harmonics. - Martin Schneider 009; Walter Kellermann (EUSIPCO, 2012)

Adaptive listening room equalization using a scalable filtering structure in thewave domain. - Martin Schneider 009; Walter Kellermann (ICASSP, 2012)

Iterative DFT-Domain Inverse Filter Determination for Adaptive Listening Room Equalization. - Martin Schneider 009; Walter Kellermann (IWAENC, 2012)

Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios. - Martin Schneider 009; Christian Huemmer 001; Walter Kellermann (ICASSP, 2013)

Comparison of multichannel doubletalk detectors for acoustic echo cancellation. - Martin Schneider 009; Emanuël A. P. Habets (EUSIPCO, 2015)

The generalized frequency-domain adaptive filtering algorithm as an approximation of the block recursive least-squares algorithm. - Martin Schneider 009; Walter Kellermann (EURASIP J. Adv. Signal Process., 2016)

Multichannel Acoustic Echo Cancellation in the Wave Domain With Increased Robustness to Nonuniqueness. - Martin Schneider 009; Walter Kellermann (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition. - Hendrik Barfuss; Markus Bachmann; Michael Buerger; Martin Schneider 009; Walter Kellermann (WASPAA, 2017)

A Weighted Least Squares Beam Shaping Technique for Sound Field Control. - Antonio Canclini; Dejan Markovic; Martin Schneider 009; Fabio Antonacci; Emanuël Anco Peter Habets; Andreas Walther 001; Augusto Sarti (ICASSP, 2018)

Iterative DFT-Domain Inverse Filter Optimization Using a Weighted Least-Squares Criterion. - Martin Schneider 009; Emanuël A. P. Habets (IEEE ACM Trans. Audio Speech Lang. Process., 2019)