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IOT
2010
15 years 1 months ago
On the calibration and performance of RSS-based localization methods
This paper analyzes the performance of several Received Signal Strength (RSS) based localization methods as a function of the calibration effort, hence as a function of deployment ...
Bram Dil, Paul J. M. Havinga
167
Voted
TSP
2010
14 years 10 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
115
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Evolutive method based on a generalized eigenvalue decomposition to estimate time varying autoregressive parameters from noisy o
A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
Hiroshi Ijima, Julien Petitjean, Eric Grivel
111
Voted
DAC
2006
ACM
15 years 9 months ago
A systematic method for functional unit power estimation in microprocessors
We present a new method for mathematically estimating the active unit power of functional units in modern microprocessors such as the Pentium 4 family. Our method leverages the ph...
Wei Wu, Lingling Jin, Jun Yang 0002, Pu Liu, Sheld...
123
Voted
EP
1998
Springer
15 years 7 months ago
A Window-Based Method for Automatic Typographic Parameter Extraction
The synthesis of existing fonts with characters represented by parametrized structure elements requires determining a set of font-specific global and local parameters. Parameters c...
Jacky Hertz, Changyuan Hu, Jakob Gonczarowski, Rog...