Runnable pseudocode for Finite State Entropy compression
Python
30
5 commits
updated Feb 25, 2018
Finite State Entropy (FSE) is an entropy coder which combines the speed of Huffman coding (which is suboptimal) with the compression ratio of arithmetic coding (which is slow). It is used in an optimized form within powerful compression schemes such as zstd and LZFSE.
Abridged fse.py:
def encode(stats, symbs):
enc = 0
for symb in symbs:
s = stats[symb]
div, mod = divmod(enc, s['prob'])
enc = stats.total*div + mod + s['cdf']
return enc
def decode(stats, enc):
symbs = []
while enc > 0:
div, mod = divmod(enc, stats.total)
s = stats.get_by_cdf(mod)
enc = s['prob']*div + mod - s['cdf']
symbs.insert(0, s['symb'])
return symbs
5 commits
Python
100.0%
Runnable pseudocode for Finite State Entropy compression
Python
30
5 commits
updated Feb 25, 2018
Finite State Entropy (FSE) is an entropy coder which combines the speed of Huffman coding (which is suboptimal) with the compression ratio of arithmetic coding (which is slow). It is used in an optimized form within powerful compression schemes such as zstd and LZFSE.
Abridged fse.py:
def encode(stats, symbs):
enc = 0
for symb in symbs:
s = stats[symb]
div, mod = divmod(enc, s['prob'])
enc = stats.total*div + mod + s['cdf']
return enc
def decode(stats, enc):
symbs = []
while enc > 0:
div, mod = divmod(enc, stats.total)
s = stats.get_by_cdf(mod)
enc = s['prob']*div + mod - s['cdf']
symbs.insert(0, s['symb'])
return symbs
5 commits
Python
100.0%