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ICASSP
2010
IEEE
15 years 15 days ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
ICASSP
2009
IEEE
15 years 6 months ago
Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification
In this paper we propose a new set of parameters for audio signal analysis and classification. These parameters are regressions computed on the normalized modulation spectrum of h...
Rainer Martin, Anil Nagathil
114
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Learning sparse dictionaries with a popularity-based model
Sparse signal representation based on overcomplete dictionaries has recently been extensively investigated, rendering the state-of-the-art results in signal, image and video proce...
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yan...
ICASSP
2011
IEEE
14 years 6 months ago
Extension of the Global Matched Filter to structured groups of atoms: Application to harmonic signals
When seeking a sparse representation of a signal on a redundant basis, one might want to convey available a priori information on the observations to the optimization criterion. I...
Jean-Jacques Fuchs
103
Voted
SIP
2001
15 years 3 months ago
A contribution to advanced theory of discrete signals and systems
The paper presents basic concepts of the discrete system theory from the viewpoint of Banach algebras and shows that some Banach algebras of sequences are not only suitable mathem...
Eduard Krajnik