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ICASSP
2011
IEEE
14 years 10 months ago
Mixed norms with overlapping groups as signal priors
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Ilker Bayram
ICASSP
2009
IEEE
16 years 1 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
IEEEICCI
2003
IEEE
16 years 8 days ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
ICASSP
2009
IEEE
16 years 1 months ago
DOA estimation of quasi-stationary signals via Khatri-Rao subspace
This paper addresses the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals, which finds applications in array processing of speech and audio. By studyi...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi
TASLP
2008
126views more  TASLP 2008»
15 years 6 months ago
LyricAlly: Automatic Synchronization of Textual Lyrics to Acoustic Music Signals
We present LyricAlly, a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. We ta...
Min-Yen Kan, Ye Wang, Denny Iskandar, Tin Lay Nwe,...