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» On Wiedemann's Method of Solving Sparse Linear Systems
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CSE
2010
IEEE
13 years 9 months ago
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching application...
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Ela...
INFOCOM
2010
IEEE
13 years 7 months ago
Compressive Sensing Based Positioning Using RSS of WLAN Access Points
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, Zhe...
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
13 years 4 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
14 years 1 months ago
The nullspace method - a unifying paradigm to fault detection
— The nullspace method is a powerful framework to solve the synthesis problem of fault detection filters in the most general setting. It is also well suited to address the least...
András Varga
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 3 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf