DocumentCode
341130
Title
RLS adaptive predictor-enhanced differentiation
Author
Vainio, Olli
Author_Institution
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume
1
fYear
1999
fDate
1999
Firstpage
551
Abstract
The well-known noise problem in digital differentiation is addressed by means of using adaptive digital filtering for signal preprocessing. Rapidly responding differentiators with low-noise output can be constructed by using the adaptive filter in a predictor configuration. As the prefilter is adaptive, the approximation is much more flexible than polynomial fitting, for instance, and different types of signals can be processed. The RLS algorithm is used for prediction because of its good convergence properties
Keywords
adaptive filters; adaptive signal processing; differentiation; digital filters; least squares approximations; prediction theory; recursive filters; RLS algorithm; adaptive predictor filter; convergence; digital differentiation; noise; signal processing; Adaptive filters; Delay; Digital filters; Filtering; Finite impulse response filter; Least squares approximation; Noise shaping; Resonance light scattering; Shape; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location
Venice
ISSN
1091-5281
Print_ISBN
0-7803-5276-9
Type
conf
DOI
10.1109/IMTC.1999.776812
Filename
776812
Link To Document