Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
B.K. Natarajan , Hewlett-Packard Co., Palo Alto, CA, USA
K. Konstantinides , Hewlett-Packard Co., Palo Alto, CA, USA
Occam filters are a class of filters for additive random noise, based on the idea that when a lossy data compression algorithm is applied to a noisy signal with the allowed loss set equal to the noise strength, the loss and the noise tend to cancel rather than add. The authors apply non-linear Occam filters to broad-band signals. Using the chirp signal as a specific example, they find that the Occam filter outperforms the Wiener filter consistently.<
Wiener filters, random noise, data compression, nonlinear filters, losses, interference suppression, chirp modulation, piecewise-linear techniques
B. Natarajan and K. Konstantinides, "Comparing Occam and Wiener filters on broad-band signals," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 269-272.