Method and apparatus for a data-dependent noise predictive viterbi
US7743314B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2006 |
| Grant date | Jun 22, 2010 |
| Priority date | — |
| Expiry date | Mar 8, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11B20/10009
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An improved Viterbi detector is disclosed in which each branch metric is calculated based on noise statistics that depend on the signal hypothesis corresponding to the branch. Also disclosed is a method of reducing the complexity of the branch metric calculations by clustering branches corresponding to signals with similar signal-dependent noise statistics. A feature of this architecture is that the branch metrics (and their corresponding square difference operators) are clustered into multiple groups, where all the members of each group draw input from a single, shared noise predictive filter corresponding to the group. In recording technologies as practiced today, physical imperfections in the representation of recorded user data in the recording medium itself are becoming the dominate source of noise in the read back data. This noise is highly dependent on what was (intended to be) written in the medium. The disclosed Viterbi detector exploits this statistical dependence of the noise on the signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.