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Jul 4, 2017 at 1:01 vote accept CLAUDE
Jul 2, 2017 at 16:30 comment added jbord39 @AliChen: Lol someone is unfamiliar with a large aspect of EE ...
Jul 2, 2017 at 15:29 answer added KillaKem timeline score: 1
Jul 1, 2017 at 1:21 comment added user57037 Imagine capturing all the data in the world. Where would you store it? How would you retrieve it? How would you interpret it? Data reduction is a very important step, even though it loses information.
Jun 30, 2017 at 22:06 answer added user136077 timeline score: 0
Jun 30, 2017 at 22:05 comment added supercat Signals contain a mixture of useful and useless information. Almost any process by which information is processed will result in some information being lost and replaced with useless information, but that doesn't imply that useful information will be lost. It's may be possible to arrange things so that after the first stage of processing, the only information lost at each stage will be useless information from earlier stages (which gets replaced with more useless information which might get lost in later stages).
Jun 30, 2017 at 21:32 comment added Eugene Sh. @AliChen Seem legit to me.. information theory is very related to EE, and asking question about theory is not uncommon...
Jun 30, 2017 at 21:29 comment added Ale..chenski I don't believe this site is for philosophical musing like this. Move your question elsewhere.
Jun 30, 2017 at 21:11 comment added Eugene Sh. Hm. Because it is incorrect. Why would the mutual information increase?
Jun 30, 2017 at 20:41 comment added CLAUDE @EugeneSh. This is the case of confusion. Indeed we prove that by setting a matched filter, we can maximize the SNR, so I can interpret that the noise level will decrease and as a result, the mutual information will increase. Why my justification is wrong?
Jun 30, 2017 at 20:22 comment added Eugene Sh. How is it a contradiction? Does it add any information to the signal? Processing the data is for extracting the (useful) information from the signal.
Jun 30, 2017 at 20:19 history asked CLAUDE CC BY-SA 3.0