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ICIP
2009
IEEE
14 years 2 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 3 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
ITC
1998
IEEE
94views Hardware» more  ITC 1998»
13 years 11 months ago
A method of serial data jitter analysis using one-shot time interval measurements
A method for measuring inter-symbol interference, duty cycle distortion, random jitter and periodic jitter is described. The Blackman-Tukey method of signal analysis is used. This...
Jan B. Wilstrup
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
ICA
2007
Springer
13 years 9 months ago
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
Ales Holobar, Damjan Zazula