ISSN:
1573-0824
Schlagwort(e):
decomposition
;
estimation
;
filter bank and wavelet transform
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Elektrotechnik, Elektronik, Nachrichtentechnik
Notizen:
Abstract In this paper, an efficient algorithm is derived for multiresolutional estimation and decomposition of noisy random signals. This algorithm performs in real-time the estimation and decomposition simultaneously, using the discrete wavelet transform implemented by a filter bank. Although the algorithm is developed based on the standard Kalman filtering scheme, the nature of blockwise filtering results in a smoothing-equivalent effect. However, the interpolated filtering produces decomposed estimate output in real-time.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1023/A:1008280719917
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