Tomas, it sounds as it you are referring to a soft decision iteratively
decoded system ?

IE like LPDC, Turbo block, turbo product etc etc

Iterative,  never the less.

On 3/11/2017 7:23 PM, Tomas Härdin wrote:
> Could such a cognitive system also be useful on the encoding side?
> Whenever I see postprocessing ideas like this I tend to think "what if
> you put that model in the coding loop?". Like the loop filter in H.264
> for example.
>
> /Tomas
>
> On Wed, 2017-11-01 at 13:19 +0100, Matei Alexandru Coltoiu wrote:
>> Hello, 
>>
>> I am trying to find a different approach regarding the poor error
>> handling issue. 
>> My Idea is to write a demodulator from scratch. Instead of either
>> having an output consisting of approximated values (later to be fed
>> into the FEC decoder) or having none, we could write the demodulator
>> so that it adds a "tail" after each symbol so that we have
>> floating point values in the end. Take this example: The demodulator
>> would either aproximate a value between 00 and 01 or we would have an
>> error. With my example, it would output a value between 0000000001
>> and 0011111111. We would than use a cognitive decoder to "guess" wich
>> value it should use. I am aware that a cognitive decoder is not a
>> piece of cake and that we ar fighting with highly compressed data.
>> But, given the overhead reduction from the FEC, we should bbe able to
>> get a decent gain. The result in low SNR should be a noisy output but
>> inteligible, similar to an analog radio (sort of).
>>
>>
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