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» Statistical signal processing approaches to fault detection
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DSN
2006
IEEE
13 years 11 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
TSP
2010
13 years 2 months ago
DOA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: a Khatri-Rao sub
In real-world applications such as those for speech and audio, there are signals that are nonstationary but can be modeled as being stationary within local time frames. Such signal...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi
DAC
2004
ACM
14 years 8 months ago
Automated fixed-point data-type optimization tool for signal processing and communication systems
A tool that automates the floating-point to fixed-point conversion (FFC) process for digital signal processing systems is described. The tool automatically optimizes fixed-point d...
Changchun Shi, Robert W. Brodersen
DSN
2008
IEEE
14 years 2 months ago
Trace-based microarchitecture-level diagnosis of permanent hardware faults
As devices continue to scale, future shipped hardware will likely fail due to in-the-field hardware faults. As traditional redundancy-based hardware reliability solutions that ta...
Man-Lap Li, Pradeep Ramachandran, Swarup Kumar Sah...
IJCNN
2000
IEEE
14 years 5 days ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta