Abstract :
The following topics are dealt with: signal processing for power grid; massive data sets; sensing and inference methods for large-scale data; track-before-detect and multi-frame detection; alternating direction optimization for imaging and machine learning problems; computational advances in array processing; distributed statistical inference; distributed and sensor networks; multidimensional and image processing; signal processing for big data; compressive sensing for urban radar; superresolution sensing and reconstruction; tensor-based methods for multi-sensor signal processing; tensor tools for multi-sensor processing; sparse and low-dimensional signal processing; geophysical signal processing; signal processing in social networks; beamforming and array signal processing; advances in sequential Monte Carlo methods; satellite communications; spectrum sensing for cognitive radio systems; radar array processing and STAP; cyber attacks on a power grid and counter measures; signal and information processing in energy grids; cognitive radio and radar networks; and wireless communications.
Keywords :
Monte Carlo methods; array signal processing; cognitive radio; compressed sensing; geophysical signal processing; image processing; inference mechanisms; learning (artificial intelligence); multidimensional signal processing; power grids; radar signal processing; satellite communication; social networking (online); tensors; STAP; alternating direction optimization; array signal processing; beamforming; cognitive radio systems; compressive sensing; cyber attacks; distributed networks; distributed statistical inference; energy grids; geophysical signal processing; image processing; imaging problems; inference methods; information processing; large-scale data; low-dimensional signal processing; machine learning problems; massive data sets; multidimensional processing; multiframe detection; multisensor signal processing; power grid; radar array processing; radar networks; satellite communications; sensor networks; sequential Monte Carlo methods; social networks; spectrum sensing; superresolution sensing; tensor tools; tensor-based methods; track-before-detect; urban radar; wireless communications;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
DOI :
10.1109/CAMSAP.2013.6713989
