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 …

Occam filters are a general technique for filtering random noise via data compression.
Previously it was established that these filters converge in a learning theoretic sense, with …

We present a novel non-linear filtering technique for random noise, based on the principle
that random noise is hard to compress. In contrast to spectral filters, the proposed technique …

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 …

The techniques of differential pulse code modulation (DPCM) and error spectrum shaping
(ESS) have been used in many data compression schemes in the past. We propose a novel …

We present a novel technique for the design of filters for random noise, leading to a class of
filters called Occam filters. The essence of the technique is that when a lossy data …

The study is concerned with a single-parameter adaptive comb filter (ACF), a multi-notch
filter with periodically located nulls. The filter is suggested to retrieve a waveform modeled …

An Occam filter employs lossy data compression to separate signal from noise. Previously, it
was shown that Occam filters can filter random noise from deterministic signals. Here, we …

The combination of a source coder and a digital modulator is in this article viewed as an
analog-to-analog converter with signal compression ability. A reference-channel with …

We describe a mechanism for approximate adaptive coding that makes use of deferred
probability update to obtain good throughput rates with no buffering of symbols from the …