Markov encoder-decoder optimized for cyclo-stationary communications channel or storage media
AssigneeSeagate Technology LLC
InventorsWilliam M. Radich, Raman Venkataramani, Jason Bellorado, Marcus Marrow, Zheng Wang
Life of this patent
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Abstract
A cyclo-stationary characteristic of a communications channel and/or storage media is determined. The cyclo-stationary characteristic has K-cycles, K>1. Markov transition probabilities are determined that depend on a discrete phase ϕ=t mod K, wherein t is a discrete time value. An encoder to optimize the Markov transition probabilities for encoding data sent through the communications channel and/or stored on the storage media. The optimized Markov transition probabilities are used to decode the data from the communication channel and/or read from the storage media.
Claims20
A method, comprising:
- determining a cyclo-stationary signal and noise statistic of a communications channel, the cyclo-stationary signal and noise statistic having K-cycles, K>1;
- defining Markov transition probabilities that depend on a discrete phase ϕ=t mod K, wherein t is a discrete time value;
- training an encoder to optimize the Markov transition probabilities for encoding data sent through the communications channel;
- and
- using the optimized Markov transition probabilities to decode the data from the communications channel.
A method, comprising:
- determining a cyclo-stationary signal and noise statistic of a storage media, the cyclo-stationary signal and noise statistic having K-cycles, K>1;
- defining Markov transition probabilities that depend on a discrete phase ϕ=t mod K, wherein t is a discrete time value;
- training an encoder to optimize the Markov transition probabilities for encoding data sent for storage on the storage media;
- and
- using the optimized Markov transition probabilities to decode the data retrieved from the storage media.
Dependencies are inferred from the claim text.