dodox/Spikey
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Updated README todo

Browse Source
This commit is contained in:
Dominik Moritz Roth 2024-05-26 23:58:58 +02:00
parent 37cd21957a
commit cd3bdb0bf8
1 changed files with 2 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -42,9 +42,8 @@ Based on an expected distribution of deltas that have to be transmitted, an effi
## TODO
- All currently implemented bitstream encoders are rather naive. We know that lead values from the N1 only have 10-bit precision, but the WAV file provides us with 32-bit floats. All my bitstream encoders are also based on 32-bit floats; discretizing back into the 10-bit space would be a low-hanging fruit for ~3.2x compression.
- Since we merely encode the remaining delta, we can go even more efficient by constructing something along the lines of a Huffman tree.
- All trained models stick mostly suck. Im not beating a compression ratio of ~2x (not counting bitstream encoder)
- Our flagship bitstream encoder builds an optimal huffman tree assuming the deltas are binomially distributed. Should be updated when we know a more precise approx of the delta dist.
- All trained models stick mostly suck. Im not beating a compression ratio of ~2x (not counting bitstream encoder). Probably a bug somewhere in our code?
## Installation