Statistical Signal Processing
The Statistical Signal Processing Group (SSPG) is a research group focusing on statistical of both discrete-time and continuous-time signals, especially spectral analysis and time-frequency analysis of stationary and non-stationary processes, detection theory and parameter estimation. The group has an interest in a wide range of application, 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, as well as speaker recognition.
Seminars
Adaptive Beamforming in Passive Sonar, (1 June, 13:15)Recent Publications
- Optimal Cepstrum Smoothing (2012)
- A SVD-based classification of bird singing in different time-frequency domains using multitapers (2011)
- Optimal Nonparametric Covariance Function Estimation for Any Family of Nonstationary Random Processes (2011)
- High-Resolution Estimation of Multidimensional Spectra from Unevenly Sampled Data (2011) Fulltext (PDF)
- Optimal Multitaper Wigner Spectrum Estimation of a Class of Locally Stationary Processes Using Hermite Functions (2011)
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Last update: 2012-05-16
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)