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

Rachele Anderson, 2019 Sep 9, Lund, Sweden: Media-Tryck, Lund University, Sweden. 172 p.

Research output: ThesisDoctoral Thesis (compilation)

Johan Brynolfsson, 2019 May 17, Media-Tryck, Lund: Centre for Mathematical Sciences, Lund University. 224 p.

Research output: ThesisDoctoral Thesis (compilation)

Isabella Reinhold & Maria Sandsten, 2019 May, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-May. p. 4983-4987 5 p. 8683588

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

View All (253)