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» Introduction to Statistical Signal Processing
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15 years 9 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICASSP
2010
IEEE
13 years 8 months ago
Random attributed graphs for statistical inference from content and context
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck
ICASSP
2011
IEEE
13 years 1 months ago
Source number estimation in impulsive noise environments using bootstrap techniques and robust statistics
We consider the problem of source number estimation in array processing when impulsive noise is present. To combat impulsive noise more effectively, two robust estimators with hig...
Zhihua Lu, Yacine Chakhchoukh, Abdelhak M. Zoubir
ICASSP
2011
IEEE
13 years 1 months ago
Robust GNSS signal detection in the presence of navigation data bits
This paper considers the problem of weak signal detection in the presence of navigation data bits for Global Navigation Satellite System (GNSS) receivers. Typically, a set of part...
J. Chandrasekhar, Chandra R. Murthy
ICANN
2009
Springer
14 years 4 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...