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» Multiple Target Localization Using Compressive Sensing
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GLOBECOM
2009
IEEE
13 years 11 months ago
Multiple Target Localization Using Compressive Sensing
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
Chen Feng, Shahrokh Valaee, Zhenhui Tan
CISS
2011
IEEE
12 years 8 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
ICASSP
2011
IEEE
12 years 8 months ago
Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging
Sparsity of target space in subsurface imaging problem is used within the framework of the compressive sensing (CS) theory in recent publications to decrease the data acquisition ...
Mehmet Ali Çagri Tuncer, Ali Cafer Gurbuz
ICASSP
2011
IEEE
12 years 8 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
2010
IEEE
13 years 5 months ago
A compressive sensing image compression algorithm using quantized DCT and noiselet information
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...