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ICASSP
2010
IEEE
15 years 2 months ago
Sparse signal recovery in the presence of correlated multiple measurement vectors
Sparse signal recovery algorithms utilizing multiple measurement vectors (MMVs) are known to have better performance compared to the single measurement vector case. However, curre...
Zhilin Zhang, Bhaskar D. Rao
ICASSP
2007
IEEE
15 years 8 months ago
Blind Signal Decompositions for Automatic Transcription of Polyphonic Music: NMF and K-SVD on the Benchmark
This paper investigates on the behavior of two blind signal decomposition algorithms, non negative matrix factorization (NMF) and non negative K-SVD (NKSVD), in a polyphonic music...
Nancy Bertin, Roland Badeau, Gaël Richard
ICASSP
2011
IEEE
14 years 6 months ago
On the instantaneous frequency smoothing for signals with quasi-linear frequency changes
The problem of estimation of the slowly-varying instantaneous frequency of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved ...
Maciej Niedzwiecki, Michal Stanislaw Meller
ICASSP
2009
IEEE
15 years 9 months ago
Phase-based alignment of two signals having partially overlapped spectra
This paper proposes a novel method for aligning two signals using the information contained in the overlapped band. In particular the proposed method aligns two signals by compens...
Albert Tumewu, Kazuyuki Miyazawa, Takafumi Aoki, T...
ICASSP
2008
IEEE
15 years 9 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler