Bo Li

Affiliations:
  • Cerence Inc., Burlington, MA, USA
  • Nuance Communication Inc., Montreal, Canada
  • École de Technologie Supérieure, Montreal, Canada (2016 - 2017)
  • Harbin Institute of Technology, Department of Control Science and Engineering, Harbin, China (PhD 2014)
  • McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada


According to our database1, Bo Li authored at least 13 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach.
IEEE Trans. Veh. Technol., 2019

Fast-Moving Jamming Suppression for UAV Navigation: A Minimum Dispersion Distortionless Response Beamforming Approach.
IEEE Trans. Veh. Technol., 2019

2018
Intelligent video surveillance for real-time detection of suicide attempts.
Pattern Recognit. Lett., 2018

2017
Robust minimum dispersion distortionless response beamforming against fast-moving interferences.
Signal Process., 2017

A projection matrix design method for MSE deduction in adaptive compressive sensing.
Signal Process., 2017

Projection matrix design using prior information in compressive sensing.
Signal Process., 2017

Real-time recognition of suicidal behavior using an RGB-D camera.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

2015
Sufficient conditions for generalized Orthogonal Matching Pursuit in noisy case.
Signal Process., 2015

Theoretical results for sparse signal recovery with noises using generalized OMP algorithm.
Signal Process., 2015

Single-image super-resolution using directional total variation regularization and alternating direction method of multiplier solver.
J. Electronic Imaging, 2015

2013
Performance analysis of OMP algorithm in recovering magnitude decaying sparse signals in compressive sensing.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

2011
Dictionaries Construction Using Alternating Projection Method in Compressive Sensing.
IEEE Signal Process. Lett., 2011

Blind Source Separation based on Compressed Sensing.
Proceedings of the 6th International ICST Conference on Communications and Networking in China, 2011


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