TY - CHAP
T1 - Finding of signal and image by integer-type Haar lifting wavelet transform
AU - Niijima, Koichi
AU - Takano, Shigeru
PY - 2002
Y1 - 2002
N2 - This paper describes a new method for finding portions having the same feature in target signals or images from a time series or a reference image. The new method uses an integer-type Haar lifting wavelet transform. Free parameters contained in this transform are learned by using training signals or images. The advantage of this method is to be able to find portions having the same feature in the targets, and to realize robust extraction due to rounding-off arithmetic in the trained transform. In simulations, we show how well the method finds geomagnetic sudden commencements from time series of geomagnetic horizontal components, and extracts facial images from a snapshot.
AB - This paper describes a new method for finding portions having the same feature in target signals or images from a time series or a reference image. The new method uses an integer-type Haar lifting wavelet transform. Free parameters contained in this transform are learned by using training signals or images. The advantage of this method is to be able to find portions having the same feature in the targets, and to realize robust extraction due to rounding-off arithmetic in the trained transform. In simulations, we show how well the method finds geomagnetic sudden commencements from time series of geomagnetic horizontal components, and extracts facial images from a snapshot.
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U2 - 10.1007/3-540-45884-0_37
DO - 10.1007/3-540-45884-0_37
M3 - Chapter
AN - SCOPUS:84867630254
SN - 3540433384
SN - 9783540433385
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 494
EP - 503
BT - Progress in Discovery Science
PB - Springer Verlag
ER -