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» Recovery of Sparsely Corrupted Signals
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ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Utilizing SSR Indications for Improved Video Communication in Presence of 802.11B Residue Errors
Radio hardware used for the reception of 802.11b frames is capable of associating a Signal to Silence Ratio (SSR) with each received frame. If a received frame is corrupted, then ...
Shirish S. Karande, Utpal Parrikar, Kiran Misra, H...
ICIP
2006
IEEE
14 years 9 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
SIGPRO
2010
135views more  SIGPRO 2010»
13 years 5 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
TASLP
2008
133views more  TASLP 2008»
13 years 5 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...