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» Audio Signal Representations for Factorization in the Sparse...
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MIR
2010
ACM
217views Multimedia» more  MIR 2010»
14 years 25 days ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
ICASSP
2008
IEEE
14 years 2 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
ICMCS
1999
IEEE
105views Multimedia» more  ICMCS 1999»
13 years 11 months ago
Key Independent Watermark Detection
Many types of pseudo-random signals have been used to embed signatures as watermarks, with spread spectrum signal techniques used to recover the signature from the encrypted data....
Ron G. van Schyndel, Andrew Z. Tirkel, Imants D. S...
TSP
2010
13 years 2 months ago
Noninvertible gabor transforms
Abstract--Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often dire...
Ewa Matusiak, Tomer Michaeli, Yonina C. Eldar
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....