There are 2 versions of analog error correction codes that I found. One is from the biological sciences:
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It uses simple mapping onto phase space to do error correction.
The second uses chaos theory to expand the state space:
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Neither of them give a really clear description of the decoding algorithm used. I would say it was rather messy in both cases.
I probably also have a third method myself using random projections. I used a version of it to improve some neural net code. Reading the above papers though shows me I did one thing slightly off.
I have a day off tomorrow so I'll try as much out as I can. For the first phase space based method I feel using the the golden ratio would be a smart move. In light of what wiki has to say about additive recurrences here:
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