WE2.SC3.5
IDENTIFYING HIGH-DIMENSIONAL SELF-SIMILARITY BASED ON SPECTRAL CLUSTERING APPLIED TO LARGE WAVELET RANDOM MATRICES
Oliver Orejola, Gustavo Didier, Tulane University, United States; Patrice Abry, Université de Lyon, ENS de Lyon, France; Herwig Wendt, Université de Toulouse, France
Session:
WE2.SC3: Time-Frequency and Time-Scale Analysis Lecture
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Saint Clair 3
Presentation Time:
Wed, 28 Aug, 15:20 - 15:40 France Time (UTC +1)
Session Chair:
Pierre Borgnat, CNRS, ENS de Lyon
Presentation
Discussion
Resources
No resources available.
Session WE2.SC3
WE2.SC3.1: ROBUST MULTITAPER REASSIGNMENT VECTORS FOR ENHANCED TIME-FREQUENCY REPRESENTATION
Maria Åkesson, Maria Sandsten, Lund University, Sweden
WE2.SC3.2: Estimation of Instantaneous Frequency and Amplitude of Multi-Component Signals using Sparse Modeling of Signal Innovation
Quentin Legros, PRISME laboratory, France; Dominique Fourer, IBISC - Univ. Evry Paris-Saclay, France
WE2.SC3.3: MULTIFREQUENCY HIGHLY OSCILLATING APERIODIC AMPLITUDE ESTIMATION FOR NONLINEAR CHIRP SIGNAL
Anton Emelchenkov, Valeo, Télécom Paris, France; Mathieu Fontaine, Yves Grenier, Télécom Paris, France; Hervé Mahé, Valeo, France; François Roueff, Télécom Paris, France
WE2.SC3.4: CONSISTENT SPECTROGRAM SEPARATION FROM NONSTATIONARY MIXTURE
Marina Krémé, Mines Saint-Etienne, France; Adrien Meynard, ENS de Lyon, France
WE2.SC3.5: IDENTIFYING HIGH-DIMENSIONAL SELF-SIMILARITY BASED ON SPECTRAL CLUSTERING APPLIED TO LARGE WAVELET RANDOM MATRICES
Oliver Orejola, Gustavo Didier, Tulane University, United States; Patrice Abry, Université de Lyon, ENS de Lyon, France; Herwig Wendt, Université de Toulouse, France