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image reconstruction (6) 6
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IEEE Transactions on Information Theory, ISSN 0018-9448, 05/2016, Volume 62, Issue 5, pp. 2772 - 2787
This paper introduces Manhattan sampling in two and higher dimensions, and proves sampling theorems for them. In 2-D, Manhattan sampling, which takes samples... 
Electrical engineering | lattice sampling | Image coding | Landau sampling rate | Frequency-domain analysis | Lattices | nonuniform periodic sampling | Image sampling | Image reconstruction | Vehicles | image sampling | Signal processing | Usage | Research | Image processing | Statistical sampling
Journal Article
IEEE transactions on information theory, ISSN 0018-9448, 05/2016, Volume 62, Issue 5, p. 2772
  This paper introduces Manhattan sampling in two and higher dimensions, and proves sampling theorems for them. In 2-D, Manhattan sampling, which takes samples... 
Lattice theory | Sampling | Information theory
Journal Article
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 05/2014, pp. 1817 - 1821
This paper presents new sufficient conditions under which a field (or image) can be perfectly reconstructed from its samples on a union of two lattices that... 
sampling methods | Lattices | Markov processes | Signal processing | Image sampling | Vectors | Sensors | Image reconstruction | Equations
Conference Proceeding
2014 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 10/2014, pp. 1842 - 1846
Cutset sampling is a new approach to image sampling where 2D data is recorded densely along intersecting lines. A special case of cutset sampling is Manhattan... 
Interpolation | Wireless sensor networks | Image edge detection | Image sampling | Linear programming | Optimization | Image reconstruction | interpolation
Conference Proceeding
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 05/2014, pp. 7585 - 7589
This work explores performance vs. communication energy tradeoffs in wireless sensor networks that use the recently proposed cutset deployment strategy in... 
Maximum likelihood estimation | Wireless sensor networks | AWGN | Lattices | source localization | Sensors | Approximation methods
Conference Proceeding
02/2015
This paper introduces Manhattan sampling in two and higher dimensions, and proves sampling theorems. In two dimensions, Manhattan sampling, which takes samples... 
Journal Article
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149, 05/2013, pp. 4266 - 4270
For wireless sensor networks, many decentralized algorithms have been developed to address the problem of locating a source that emits acoustic or... 
Algorithm design and analysis | Wireless sensor networks | Accuracy | Protocols | Upper bound | Lattices | Sensors
Conference Proceeding
2012 19th IEEE International Conference on Image Processing, ISSN 1522-4880, 09/2012, pp. 2061 - 2064
This paper builds upon previous work for image reconstruction problems in which samples are taken on evenly spaced rows and columns, i.e., a Manhattan grid. A... 
Image segmentation | interpolation | Image edge detection | Approximation algorithms | Partitioning algorithms | Markov random field | Approximation methods | Labeling | Sampling | Image reconstruction | image reconstruction
Conference Proceeding
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2012, pp. 3797 - 3800
This paper presents a sampling theorem for Manhattan-grid sampling, which is a sampling scheme in which data is taken along evenly spaced rows and columns.... 
Manhattan grids | Fourier transforms | Image coding | Image edge detection | cross-bandlimited | Lattices | Markov processes | Sampling theorem | Encoding | rectangular sampling | Image reconstruction
Conference Proceeding
2011 18th IEEE International Conference on Image Processing, ISSN 1522-4880, 09/2011, pp. 1909 - 1912
This paper presents a new approach to sampling images in which samples are taken on a cutset with respect to a graphical image model. The cutsets considered... 
Image segmentation | Interpolation | Correlation | PSNR | Image edge detection | Estimation | sampling | cutsets | Image reconstruction | Markov random fields | interpolation | image reconstruction
Conference Proceeding
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