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» Nonlinear signal processing vs. Kalman filtering
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CVPR
2008
IEEE
14 years 9 months ago
Information-theoretic active scene exploration
Studies support the need for high resolution imagery to identify persons in surveillance videos[13]. However, the use of telephoto lenses sacrifices a wider field of view and ther...
Eric Sommerlade, Ian Reid
ICIP
2005
IEEE
14 years 9 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...
ICIP
1997
IEEE
13 years 11 months ago
Adjustable Quadratic Filters for Image Enhancement
We propose a new class of mapping-based nonlinear quadratic Volterra filters for image enhancement. The input signal is mapped prior to filtering by a memoryless one-to-one nonl...
Reinhard Bernstein, Sanjit K. Mitra, Michael S. Mo...
ICASSP
2010
IEEE
13 years 7 months ago
Design of sparse filters for channel shortening
Abstract—Channel shortening filters have been used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication systems to reduce i...
Aditya Chopra, Brian L. Evans
ICASSP
2008
IEEE
14 years 1 months ago
Parameterized design framework for hardware implementation of particle filters
Particle filtering methods provide powerful techniques for solving non-linear state-estimation problems, and are applied to a variety of application areas in signal processing. Be...
Sankalita Saha, Neal K. Bambha, Shuvra S. Bhattach...