Den onsdagen den 30:e oktober 2013 kl. 20:35:59 UTC+1 skrev Tim Delaney: > On 31 October 2013 05:21, <jonas.t...@gmail.com> wrote: > > I am searching for the program or algorithm that makes the best possible of > completly (diffused data/random noise) and wonder what the state of art > compression is. > > > > > I understand this is not the correct forum but since i think i have an > algorithm that can do this very good, and do not know where to turn for such > question i was thinking to start here. > > > > It is of course lossless compression i am speaking of. > > > > This is not an appropriate forum for this question. If you know it's an > inappropriate forum (as you stated) then do not post the question here. Do a > search with your preferred search engine and look up compression on lossless > Wikipedia. And read and understand the following link: > > > > http://www.catb.org/esr/faqs/smart-questions.html > > > > paying special attention to the following parts: > > > > http://www.catb.org/esr/faqs/smart-questions.html#forum > http://www.catb.org/esr/faqs/smart-questions.html#prune > > > http://www.catb.org/esr/faqs/smart-questions.html#courtesy > > http://www.catb.org/esr/faqs/smart-questions.html#keepcool > > > http://www.catb.org/esr/faqs/smart-questions.html#classic > > > > If you have *python* code implementing this algorithm and want help, post the > parts you want help with (and preferably post the entire algorithm in a > repository). > > > > > However, having just seen the following from you in a reply to Mark ("I do > not follow instructions, i make them accesible to anyone"), I am not not > going to give a second chance - fail to learn from the above advice and > you'll meet my spam filter. > > > > If the data is truly completely random noise, then there is very little that > lossless compression can do. On any individual truly random data set you > might get a lot of compression, a small amount of compression, or even > expansion, depending on what patterns have randomly occurred in the data set. > But there is no current lossless compression algorithm that can take truly > random data and systematically compress it to be smaller than the original. > > > > If you think you have an algorithm that can do this on truly random data, > you're probably wrong - either your data is has patterns the algorithm can > exploit, or you've simply been lucky with the randomness of your data so far. > > > > Tim Delaney
No i am not wrong. End of story -- https://mail.python.org/mailman/listinfo/python-list
