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» On the robust detection of edges in time series filtering
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CSDA
2007
102views more  CSDA 2007»
13 years 3 months ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried
NIPS
2003
13 years 5 months ago
A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors
A mixed-signal image filtering VLSI has been developed aiming at real-time generation of edge-based image vectors for robust image recognition. A four-stage asynchronous median de...
Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata
ICPR
2004
IEEE
14 years 4 months ago
Robust Local Max-Min Filters by Normalized Power-Weighted Filtering
A normalized, power-weighted averaging filter (NPF) is a very good approximation to the well-know local maximum and minimum filters along the object edges and offers noise reducti...
Lucas J. van Vliet
CSDA
2010
111views more  CSDA 2010»
13 years 3 months ago
Robust online signal extraction from multivariate time series
We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that ca...
Vivian Lanius, Ursula Gather
CSDA
2007
111views more  CSDA 2007»
13 years 3 months ago
On rank tests for shift detection in time series
Robustified rank tests, applying a robust scale estimator, are investigated for reliable and fast shift detection in time series. The tests show good power for sufficiently larg...
Roland Fried, Ursula Gather