Statistical Signal Processing Group

Organisational unit: Research group

Description

The Statistical Signal Processing Group (SSPG) focusses on statistical statistical signal processing of both discrete-time and continuous-time signals, especially spectral analysis and time-frequency analysis of stationary and non-stationary processes, detection theory, parameter estimation and particle filters using sequential Monte Carlo methods. The group has an interest in a wide range of applications, such as in the remote sensing of concealed explosives and narcotics, medical signal processing of EEG, HRV, and ultrasonic signals, compression and analysis of speech and audio signals, as well as speaker recognition.

Recent research outputs

Ted Kronvall 2017 Sep 22 Lund: Mathematical Statistics, Centre for Mathematical Sciences, Lund University. 309 p.

Research output: ThesisDoctoral Thesis (compilation)

Zhang, Y., Andreas Jakobsson & Yang, J. 2017 Aug 3 In : IEEE Geoscience and Remote Sensing Letters. 14, 10, p. 1675 - 1679

Research output: Contribution to journalArticle

Filip Elvander, Adalbjörnsson, S. I., Karlsson, J. & Andreas Jakobsson 2017 Jun 19 Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. IEEE--Institute of Electrical and Electronics Engineers Inc., p. 331-335 5 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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