Statistical Signal Processing Group

Organisational unit: Research group


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

Amitava Halder, Johan Swärd, Kalev Kuklane, Andreas Jakobsson, Miller, M., Unge, J., Kim, S. & Chuansi Gao 2018 Jul 2 22nd Congress of the International Society of Electrophysiology and Kinesiology (ISEK).

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

Meng, X., Andreas Jakobsson, Li, X. & Lei, Y. 2018 Jun 1 In : Signal Processing. 147, p. 1-10 10 p.

Research output: Contribution to journalArticle

Zhang, Y., Andreas Jakobsson, Zhang, Y., Huang, Y. & Yang, J. 2018 May 18 In : IEEE Transactions on Geoscience and Remote Sensing.

Research output: Contribution to journalArticle

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