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TSP
2010
15 years 1 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
ICASSP
2011
IEEE
14 years 10 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
AISS
2010
169views more  AISS 2010»
15 years 4 months ago
Effective Lane Detection and Tracking Method Using Statistical Modeling of Color and Lane Edge-orientation
This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address ...
Jin-Wook Lee, Jae-Soo Cho
SIAMAM
2011
15 years 1 months ago
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor
Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric p...
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoli...
TASLP
2010
134views more  TASLP 2010»
15 years 1 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang