Thomas Jollans On 2017-10-25 23:22, danceswi...@gmail.com wrote: > With every transform the entropy changes,
That's only true if the "transform" loses or adds information. If it loses information, that's lossy compression, which is only useful in very specific (but also extremely common) circumstances. If it adds information, that's poetry, not compression. Not true! You can transform a stream lossless, and change its entropy without adding to or taking away. These two streams 16 bits are the same but one is reversed. 1111000010101011 This equals 61611 This can be represented using 0-6 log2(7)*5= 14.0367746103 bits 1101010100001111 This equals 54543 This can be represented using 0-5 log2(6)*5= 12.9248125036 bits In reality you can express 54543 with 10 bits. -- https://mail.python.org/mailman/listinfo/python-list
