SAM-L1: Signal Separation |
Session Type: Lecture |
Time: Thursday, March 29, 10:30 - 12:30 |
Location: Room C-1 |
Session Chair: Visa Koivunen, Aalto University
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SAM-L1.1: SIMPLICIAL CONE SHRINKING ALGORITHM FOR UNMIXING NONNEGATIVE SOURCES
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Wendyam Serge Boris Ouedraogo; Commissariat à l'Energie Atomique et aux Energies Alternatives
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Antoine Souloumiac; Commissariat à l'Energie Atomique et aux Energies Alternatives
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Meriem Jaidane; Ecole Nationale d'Ingénieurs de Tunis
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Christian Jutten; Université de Grenoble
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SAM-L1.2: A SIMPLE CLOSED-FORM SOLUTION FOR OVERDETERMINED BLIND SEPARATION OF LOCALLY SPARSE QUASI-STATIONARY SOURCES
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Xiao Fu; The Chinese University of Hong Kong
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Wing-Kin (Ken) Ma; The Chinese University of Hong Kong
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SAM-L1.3: A ROBUST APPROACH TO REVERBERANT BLIND SOURCE SEPARATION IN THE PRESENCE OF NOISE FOR ARBITRARILY ARRANGED SENSORS
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Ingrid Jafari; The University of Western Australia
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Roberto Togneri; The University of Western Australia
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Sven Nordholm; Curtin University of Technology
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SAM-L1.4: USER-GUIDED INDEPENDENT VECTOR ANALYSIS WITH SOURCE ACTIVITY TUNING
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Takuma Ono; The University of Tokyo
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Nobutaka Ono; National Institute of Informatics
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Shigeki Sagayama; The University of Tokyo
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SAM-L1.5: ADAPTIVE FUSION OF DICTIONARY LEARNING AND MULTICHANNEL BSS
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Vahid Abolghasemi; Brunel University
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Saideh Ferdowsi; University of Surrey
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Bahador Makki Abadi; University of Surrey
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Saeid Sanei; University of Surrey
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SAM-L1.6: COMPUTATIONAL METHODS FOR STRUCTURED SPARSE COMPONENT ANALYSIS OF CONVOLUTIVE SPEECH MIXTURES
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Afsaneh Asaei; IDIAP Research Institute / École Polytechnique Fédérale de Lausanne
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Michael E. Davies; Institute for Digital Communication, The University of Edinburgh
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Hervé Bourlard; IDIAP Research Institute / École Polytechnique Fédérale de Lausanne
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Volkan Cevher; École Polytechnique Fédérale de Lausanne
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