Sciweavers

ICASSP
2011
IEEE
13 years 2 months ago
Ambiguity functions of compressively sensed and processed radar waveforms
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
Ioannis Kyriakides
ICASSP
2011
IEEE
13 years 2 months ago
Adaptive compressive sensing and processing for radar tracking
Compressive sensing and processing of radar waveforms enables high-resolution tracking while using low sampling rates and inexpensive processing. Compressive processing, however, ...
Ioannis Kyriakides
ICASSP
2011
IEEE
13 years 2 months ago
Compressive Sensing for over-the-air ultrasound
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...
Petros Boufounos
TMM
2010
149views Management» more  TMM 2010»
13 years 5 months ago
Joint Compressive Video Coding and Analysis
Traditionally, video acquisition, coding and analysis have been designed and optimized as independent tasks. This has a negative impact in terms of consumed resources, as most of ...
M. Cossalter, Giuseppe Valenzise, Marco Tagliasacc...
PAMI
2011
13 years 6 months ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
CORR
2011
Springer
148views Education» more  CORR 2011»
13 years 6 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
CVPR
2011
IEEE
13 years 7 months ago
Is face recognition really a Compressive Sensing problem?
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
Qinfeng Shi, Anders Eriksson, Anton vandenHengel, ...
INFOCOM
2010
IEEE
13 years 9 months ago
Compressive Oversampling for Robust Data Transmission in Sensor Networks
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahe...
ICASSP
2010
IEEE
13 years 11 months ago
Compressive detection for wide-band spectrum sensing
In this paper we propose a novel wide-band spectrum sensing scheme using compressive sensing. The wide-band signal is fed into a number of wide-band filters and the outputs of th...
Veria Havary-Nassab, Sadiq Hassan, Shahrokh Valaee
ICIP
2008
IEEE
14 years 5 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu