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Hard detection receives input in the form of '0' and '1', hence the name 'hard'.
Whereas Soft detection can work on input having many levels.
Soft detectors perform better than Hard detectors but at the cost of more complexity.
take a look at the above thread where the difference is explained more comprehensively
- Soft detection: We have the received data bits at receiver, soft detection that is example: in Maximum likelihood you must build the formula to take data bits by estimate data bits of transmitter.
- Hard detection: when you received the data bits, after that the data must cross some block to detector, and at here you care only the output's result.
soft detection gives you the information about how much relaible in terms of probability density the value you have detected is. the value in terms of bits you have decoded is hard detection
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