Title :
Filtering random noise via data compression
Author_Institution :
Hewlett-Packard Labs., Palo Alto, CA, USA
Abstract :
A general technique is suggested for reducing random noise from signals using data compression in conjunction with the principle of Occam´s Razor. Not only are classical spectral filters realisable as a particular instance of the technique, but more powerful nonlinear filters fall within its scope
Keywords :
data compression; filtering and prediction theory; random noise; Occam´s Razor; data compression; nonlinear filters; random noise; spectral filters; Additive noise; Data compression; Encoding; Filtering; Frequency measurement; Laboratories; Low pass filters; Noise cancellation; Noise measurement; Noise reduction;
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
DOI :
10.1109/DCC.1993.253144
