Jonathan G. Ligo

According to our database, Jonathan G. Ligo authored at least 8 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2017

Detection of sparse mixtures: fundamental limits and algorithms

Jonathan G. Ligo

PhD thesis, 2017

Sparse Gaussian mixture detection: Low complexity, high performance tests via quantization.

Jonathan G. Ligo, George V. Moustakides, Venugopal V. Veeravalli

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

MetaCRAM: an integrated pipeline for metagenomic taxonomy identification and compression.

Minji Kim, Xiejia Zhang, Jonathan G. Ligo, Farzad Farnoud, Venugopal V. Veeravalli, Olgica Milenkovic

BMC Bioinform., 2016

Rate analysis for detection of sparse mixtures.

Jonathan G. Ligo, George V. Moustakides, Venugopal V. Veeravalli

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Detection of sparse mixtures: The finite alphabet case.

Jonathan G. Ligo, George V. Moustakides, Venugopal V. Veeravalli

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014

A Controlled Sensing Approach to Graph Classification.

Jonathan G. Ligo, George K. Atia, Venugopal V. Veeravalli

IEEE Trans. Signal Process., 2014

2013

MCUIUC - A new framework for metagenomic read compression.

Jonathan G. Ligo, Minji Kim, Amin Emad, Olgica Milenkovic, Venugopal V. Veeravalli

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

MetaPar: Metagenomic sequence assembly via iterative reclassification.

Minji Kim, Jonathan G. Ligo, Amin Emad, Farzad Farnoud, Olgica Milenkovic, Venugopal V. Veeravalli

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013