So if the theoretical min compression limit (log2(n)*(x)) has a 3% margin but your transform has a less than 3% inflate rate at most then there is room for the transform to compress below the theoretical min. With every transform the entropy changes, the potential for greater compression also changes, with each pass you can compress untill the entropy is so random it can no longer be comressed. -- https://mail.python.org/mailman/listinfo/python-list
- Re: Compression of random binary data Chris Angelico
- Re: Compression of random binary data Gregory Ewing
- Re: Compression of random binary data Paul Moore
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data Gregory Ewing
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data Steve D'Aprano
- Re: Compression of random binary data Ben Bacarisse
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data Steve D'Aprano
- Re: Compression of random binary data Thomas Jollans
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data Ian Kelly
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data danceswithnumbers
- Re: Compression of random binary data Ian Kelly
- Re: Compression of random binary data Ian Kelly
- Re: Compression of random binary data Peter Pearson
- Re: Compression of random binary data Steve D'Aprano