Rolando Herrero, Ph.D.
Affiliations: | 2012 | Electrical and Computer Engineering | Northeastern University, Boston, MA, United States |
Area:
Electronics and Electrical EngineeringGoogle:
"Rolando Herrero"Parents
Sign in to add mentorVinay K. Ingle | grad student | 2012 | Northeastern University | |
(Ultraspectral Data Compression.) |
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Publications
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Herrero R. (2017) Modeling and comparative analysis of Forward Error Correction in the context of multipath redundancy Telecommunication Systems. 65: 783-794 |
Herrero R, Ingle VK. (2016) Ultraspectral image compression using two-stage prediction: Prediction gain and rate-distortion analysis Signal, Image and Video Processing. 10: 729-736 |
Herrero R, Ingle VK. (2016) Backward and forward linear prediction applied to ultraspectral image processing: Effects on rate–distortion Signal, Image and Video Processing. 10: 639-646 |
Herrero R. (2016) Integrating HEC with circuit breakers and multipath RTP to improve RTC media quality Telecommunication Systems. 1-11 |
Herrero R, Cadirola M, Ingle VK. (2015) Preprocessing and compression of Hyperspectral images captured onboard UAVs Proceedings of Spie - the International Society For Optical Engineering. 9647 |
Herrero R, Ingle VK. (2015) Space-filling curves applied to compression of ultraspectral images: Performance evaluation and analytical modeling Signal, Image and Video Processing. 9: 1249-1257 |
Herrero R, Cadirola M, Ingle VK. (2014) Effects of preprocessing applied to the compression of ultraspectral images Proceedings of Spie - the International Society For Optical Engineering. 9088 |
Herrero R, Ingle VK. (2014) Band ordering in compression of ultraspectral images: Performance improvement and comparative analysis Signal, Image and Video Processing. 8: 255-265 |
Herrero R, Ingle VK. (2013) Analytical and comparative analysis of lossy ultraspectral image compression Proceedings of Spie - the International Society For Optical Engineering. 8743 |
Herrero R, Cadirola M. (2013) Modeling lossy compression of ultraspectral images American Society For Photogrammetry and Remote Sensing Annual Conference, Asprs 2013. 288-299 |