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» Sensor noise modeling using the Skellam distribution: Applic...
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CVPR
2007
IEEE
14 years 6 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
IPSN
2005
Springer
13 years 10 months ago
Sensing capacity for discrete sensor network applications
We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of...
Yaron Rachlin, Rohit Negi, Pradeep K. Khosla
ALGOSENSORS
2009
Springer
13 years 11 months ago
A Note on Uniform Power Connectivity in the SINR Model
In this paper we study the connectivity problem for wireless networks under the Signal to Interference plus Noise Ratio (SINR) model. Given a set of radio transmitters distributed ...
Chen Avin, Zvi Lotker, Francesco Pasquale, Yvonne ...
MICCAI
2008
Springer
14 years 6 months ago
A Local Mutual Information Guided Denoising Technique and Its Application to Self-calibrated Partially Parallel Imaging
Abstract. The application of Partially Parallel Imaging (PPI) techniques to regular clinical Magnetic Resonance Imaging (MRI) studies has brought about the benefit of significantly...
Weihong Guo, Feng Huang
RAS
2007
148views more  RAS 2007»
13 years 4 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...