71 search results - page 4 / 15 » A sparse component model of source signals and its applicati... |
INTERSPEECH
2010
13 years 3 months ago
2010
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
ICA
2010
Springer
13 years 9 months ago
2010
Springer
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
IMC
2007
ACM
13 years 10 months ago
2007
ACM
We consider the problem of diagnosing performance problems in distributed system and networks given end-to-end performance measurements provided by test transactions, or probes. C...
IJON
2002
13 years 8 months ago
2002
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...
ISCAS
1999
IEEE
14 years 26 days ago
1999
IEEE
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...