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» Fast Analysis and Optimization of Power Ground Networks
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IPSN
2004
Springer
15 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
GLVLSI
2009
IEEE
164views VLSI» more  GLVLSI 2009»
15 years 4 months ago
Capturing topology-level implications of link synthesis techniques for nanoscale networks-on-chip
In the context of nanoscale networks-on-chip (NoCs), each link implementation solution is not just a specific synthesis optimization technique with local performance and power im...
Daniele Ludovici, Georgi Nedeltchev Gaydadjiev, Da...
SSPR
2004
Springer
15 years 2 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
ICWN
2008
14 years 11 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
DIALM
2005
ACM
125views Algorithms» more  DIALM 2005»
14 years 11 months ago
Minimizing interference in ad hoc and sensor networks
Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds ...
Thomas Moscibroda, Roger Wattenhofer