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

Filip Elvander, Johan Swärd & Andreas Jakobsson 2018 In : Signal Processing. 145, p. 37-47 11 p.

Research output: Contribution to journalArticle

Rachele Anderson 2017 Nov Lund: Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics. 99 p.

Research output: ThesisLicentiate Thesis

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