|
|
97acaaafd3
|
Reimplemented gradient computation with more numpy builtin functions
|
2022-11-07 19:37:46 +01:00 |
|
|
|
b7c4b4e359
|
Changed default proximal decoder parameters
|
2022-11-07 15:35:15 +01:00 |
|
|
|
9348689292
|
Changed the way the codewords are mapped onto [0, 1]^n
|
2022-11-07 15:02:55 +01:00 |
|
|
|
6af243efba
|
Replaced manual calculation with builtin numpy functions
|
2022-11-07 14:49:05 +01:00 |
|
|
|
d129a222bc
|
Moved calculation of A and B sets from ProximalDecoder::_grad_h() to ProximalDecoder::__init__()
|
2022-11-07 14:38:30 +01:00 |
|
|
|
323b103d6f
|
Proximal decoder now return the decoded dataword instead of the codeword
|
2022-11-07 14:07:46 +01:00 |
|
|
|
2f1497b1b8
|
Comment and formatting changes
|
2022-11-07 11:07:24 +01:00 |
|
|
|
78fd8bf95c
|
Implemented naive soft decision decoder
|
2022-11-07 10:58:35 +01:00 |
|
|
|
74ee1cc4db
|
Fixed [0, 1] and [-1, 1] issue; comments; stopping simulation after n bit errors
|
2022-11-07 00:32:31 +01:00 |
|
|
|
2c16e2c2a3
|
Implemented projection; Added TODOs and fixed docstrings
|
2022-11-04 22:05:16 +01:00 |
|
|
|
bf469afbd1
|
Added requirements.txt and instructions for running to README
|
2022-11-04 21:32:07 +01:00 |
|
|
|
6444914296
|
Finished initial (non-working) implementation of proximal decoder
|
2022-11-04 21:08:41 +01:00 |
|