ASMSP-P7.5
NETWORK ARCHITECTURES FOR MANIFOLD LEARNING IN MIMO ACOUSTIC SYSTEM IDENTIFICATION
Till Hardenbicker, Johannes Hahn, Peter Jax, RWTH Aachen University, Germany
Session:
ASMSP-P7: Acoustic Noise and Echo Control Poster
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
Poster Area E
Presentation Time:
Wed, 10 Sep, 15:30 - 17:10 Italy Time (UTC +2)
Session Chair:
Rainer Martin, Ruhr-Universität Bochum
Presentation
Discussion
Resources
No resources available.
Session ASMSP-P7
ASMSP-P7.1: Reference Microphones Selection for Feedforward Active Noise Control Exploiting Microphone Networks
Yanrong He, De Hu, Inner Mongolia University, China
ASMSP-P7.2: GSN-FXLOGLMS+: A STEP-SIZE NORMALIZED ALGORITHM FOR ROBUST IMPULSIVE NOISE CONTROL
Aoi Haneda, Yosuke Sugiura, Tetsuya Shimamura, Saitama University, Japan
ASMSP-P7.3: LAGUERRE FILTER-BASED ROBUST FEEDBACK ACTIVE NOISE CONTROL
Willem Alexander Klatt, Rainer Martin, Ruhr-Universität Bochum, Germany
ASMSP-P7.4: Joint Input and Output Channel Selection for Multi-channel Feedforward Active Noise Control
Yanrong He, De Hu, Inner Mongolia University, China
ASMSP-P7.5: NETWORK ARCHITECTURES FOR MANIFOLD LEARNING IN MIMO ACOUSTIC SYSTEM IDENTIFICATION
Till Hardenbicker, Johannes Hahn, Peter Jax, RWTH Aachen University, Germany
ASMSP-P7.6: A Novel Hybrid Active Noise Control System for Composite Disturbance Signal
Chenyang Ji, Yizhou Gong, Yang Wang, ShanghaiTech University, China
ASMSP-P7.7: ALIGN-ULCNET: TOWARDS LOW-COMPLEXITY AND ROBUST ACOUSTIC ECHO AND NOISE REDUCTION
Shrishti Saha Shetu, Naveen Kumar Desiraju, Fraunhofer IIS, Germany; Wolfgang Mack, FAU Erlangen-Nürnberg, Germany; Emanuel A. P. Habets, Fraunhofer IIS, Germany