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» Automatic Understanding of Signals
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TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
DEDS
2000
83views more  DEDS 2000»
13 years 7 months ago
Synthesis of Discrete-Event Controllers Based on the Signal Environment
In this paper, we present the integration of controller synthesis techniques in the SIGNAL environment through the description of a tool dedicated to the incremental construction o...
Hervé Marchand, Patricia Bournai, Michel Le...
TCSV
2002
132views more  TCSV 2002»
13 years 7 months ago
A study of real-time packet video quality using random neural networks
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
Samir Mohamed, Gerardo Rubino
BMCBI
2007
136views more  BMCBI 2007»
13 years 7 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...
SIPS
2006
IEEE
14 years 1 months ago
Automated Architectural Exploration for Signal Processing Algorithms
Abstract— This paper presents a design environment for efficiently generating application-specific Intellectual Property (IP) cores for system level signal processing algorithm...
Ramsey Hourani, Ravi Jenkal, W. Rhett Davis, Winse...