Prof. Panos P. Markopoulos
Assistant Professor at Rochester Institute of Technology
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
Dimensionality Reduction , Low-complexity Combinatorics , Short-data-record Estimation , Subspace Signal Processing , Compressive Sampling
Websites:
Publications (6)

PROCEEDINGS ARTICLE | May 14, 2018
Proc. SPIE. 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics
KEYWORDS: Radar, Continuous wave operation, Principal component analysis, Doppler effect, Sensors, Feature extraction, Motion analysis

PROCEEDINGS ARTICLE | May 14, 2018
Proc. SPIE. 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics
KEYWORDS: Principal component analysis, Statistical analysis, Matrices, Resistance, Data processing, Signal processing, Microelectronics, Machine learning, Reconstruction algorithms, Electrical engineering

PROCEEDINGS ARTICLE | May 5, 2017
Proc. SPIE. 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics
KEYWORDS: Optical imaging, Principal component analysis, Visual process modeling, Detection and tracking algorithms, Video, Ultraviolet radiation, Resistance, Object recognition, Optical tracking, Microelectronics, Computer engineering, Electrical engineering, Optimization (mathematics)

PROCEEDINGS ARTICLE | May 5, 2017
Proc. SPIE. 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics
KEYWORDS: Transmitters, Modulation, Data hiding, Matrices, Receivers, Phase shift keying, Linear filtering, Telecommunications, Information technology, High dynamic range imaging, Picosecond phenomena, Binary data

PROCEEDINGS ARTICLE | May 5, 2017
Proc. SPIE. 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics
KEYWORDS: Analytics, Principal component analysis, Statistical analysis, Detection and tracking algorithms, Sensors, Ultraviolet radiation, Resistance, Data processing, Signal processing, Electrical engineering, Astatine, Spectral data processing, Algorithms

PROCEEDINGS ARTICLE | May 23, 2014
Proc. SPIE. 9109, Compressive Sensing III
KEYWORDS: Signal to noise ratio, Contamination, Sensors, Resistance, Receivers, Signal processing, Electronics engineering, Computer engineering, Electrical engineering, Data analysis

Showing 5 of 6 publications
Conference Committee Involvement (1)
Big Data: Learning, Analytics, and Applications
17 April 2019 | Baltimore, Maryland, United States
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