Title :
Signal processing for event detection
Author :
Ahlbom, L. ; Forsén, Anders ; Zetterberg, Lars H.
Author_Institution :
Royal Institute of Technology, Stockholm, Sweden
Abstract :
A recursively updated lattice filter has been used for detection of non-stationarities in stochastic processes. Detection of these may be based either on the residual or the filtercoefficients. A decision variable defined from the filter-coefficients has been found promising in application of the algorithm to seismic signals and to electroencephalograms.
Keywords :
Brain modeling; Epilepsy; Event detection; Finite impulse response filter; Lattices; Parameter estimation; Recursive estimation; Signal processing; Statistics; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
DOI :
10.1109/ICASSP.1982.1171825
