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IIS
2004
15 years 3 months ago
Automatic Understanding of Signals
Using computers for different task including enhancement, description and evaluation of signals we typically include three steps: signal processing (for obtaining signal of better ...
Ryszard Tadeusiewicz
ICASSP
2011
IEEE
14 years 6 months ago
Rotation invariant feature extraction from 3-D acceleration signals
In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transf...
Takumi Kobayashi, Kôiti Hasida, Nobuyuki Ots...
134
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ICASSP
2011
IEEE
14 years 6 months ago
Optical MEMS image enhancement with sparse signal representation
This paper describes a complete low-complexity imaging system based on a single MEMS scanning mirror and a single photodetector, together with customized image enhancement algorit...
Ganchi Zhang, Li Li, Vladimir Stankovic, Lina Stan...
ICASSP
2009
IEEE
15 years 9 months ago
Sampling signals with finite rate of innovation in the presence of noise
Recently, it has been shown that it is possible to sample non-bandlimited signals that possess a limited number of degrees of freedom and uniquely reconstruct them from a finite ...
Pier Luigi Dragotti, Felix Homann
ICA
2010
Springer
15 years 2 months ago
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation
We present an overview of the biomedical part of the 2010 community-based Signal Separation Evaluation Campaign (SiSEC2010), coordinated by the authors. In addition to the audio ta...
Shoko Araki, Fabian J. Theis, Guido Nolte, Dominik...