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352e3e65f59a54e3ff29304cdb48fc9de8145e09
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Jonathan Hogg 352e3e65f5 Load/save analog parameters to a config file; more debug logging; quicker clock divider determination in capturing; quicker selection of clock for waveform generation; documented calibration; removed dodgy/unused scope methods; fixed sample scaling; fixes for using scope over network connection; new URL-based connection method
2018-07-03 18:54:36 +01:00
.gitignore
Scaling (with calibration) and triggering working
2016-10-19 17:33:11 +01:00
LICENSE
Add license; other changes
2016-10-20 16:17:43 +01:00
README.md
Fix bug in calculating SampleAddress that was breaking mixed signal capture
2017-03-30 15:00:59 +01:00
scope.py
Load/save analog parameters to a config file; more debug logging; quicker clock divider determination in capturing; quicker selection of clock for waveform generation; documented calibration; removed dodgy/unused scope methods; fixed sample scaling; fixes for using scope over network connection; new URL-based connection method
2018-07-03 18:54:36 +01:00
streams.py
Load/save analog parameters to a config file; more debug logging; quicker clock divider determination in capturing; quicker selection of clock for waveform generation; documented calibration; removed dodgy/unused scope methods; fixed sample scaling; fixes for using scope over network connection; new URL-based connection method
2018-07-03 18:54:36 +01:00
VM registers.xlsx
Scaling (with calibration) and triggering working
2016-10-19 17:33:11 +01:00
vm.py
Load/save analog parameters to a config file; more debug logging; quicker clock divider determination in capturing; quicker selection of clock for waveform generation; documented calibration; removed dodgy/unused scope methods; fixed sample scaling; fixes for using scope over network connection; new URL-based connection method
2018-07-03 18:54:36 +01:00

README.md

ScopeThing

Quick Notes

  • Only tested against a BitScope Micro (BS05)
  • Requires Python >3.6 and the pyserial package
  • Also requires NumPy and SciPy if you want to do analog range calibration
  • Having Pandas is useful for wrapping capture results for further processing
Description
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Readme 580 KiB