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» The Measurable Space of Stochastic Processes
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ICASSP
2011
IEEE
13 years 1 months ago
Noise power gain as a measure of errors in discrete-time transversal estimators
The noise power gain (NPG) is addressed and the error bound (EB) is specified via NPG for a general p-shift linear timevariant finite impulse response (FIR) transversal estimato...
Yuriy S. Shmaliy, Oscar Gerardo Ibarra-Manzano
FMCO
2009
Springer
161views Formal Methods» more  FMCO 2009»
13 years 7 months ago
The How and Why of Interactive Markov Chains
This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
Holger Hermanns, Joost-Pieter Katoen
CVPR
2009
IEEE
15 years 5 months ago
Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval
The matching and retrieval of 2D shapes is an important challenge in computer vision. A large number of shape similarity approaches have been developed, with the main focus bein...
Xingwei Yang (Temple University), Suzan Koknar-Tez...
MOR
2006
93views more  MOR 2006»
13 years 9 months ago
Optimization of Convex Risk Functions
We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions we d...
Andrzej Ruszczynski, Alexander Shapiro
ARC
2007
Springer
152views Hardware» more  ARC 2007»
13 years 10 months ago
Statistical signal processing approaches to fault detection
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
Fredrik Gustafsson