<div dir="ltr">Hi All ,<div>My apologies for being really late / absent to respond to lots of the emails on this subject.</div><div><br></div><div>I think I was the one that unfortunately dragged Octave into the discussion. The main reason was that I am not an experienced python person (yet) but I have contributed in the past to some Matlab utilities for RF work that were converted to executables in the end. Matlab isn't open source, but Octave is, and it was one of the original open engineering tools. It's been around for 20 plus years and has good community support. I was thinking that a link budget and propagation "Toolbox" for Octave might be a nice thing to have for the community.</div><div><br></div><div>Given that python, numpy, scipy.. have really become the open source baseline, I'm sure that this is absolutely the right way to go for a mission application/planning tool. I apologize for the distraction. </div><div>I'll experiment a bit over in Matlab/Octave in the background to see if a set of .m files or functions can be built up to support future work.</div><div><br></div><div>Link budgets , Bus power budgets (and antenna pointing requirements) are so important. Everything else ( throughput and BER/SER/PER) falls out of them. </div><div><br></div><div>Cheers!</div><div>Alan</div><div id="m_3502320734441759451DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br>
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<td style="width:470px;padding-top:12px;color:#41424e;font-size:13px;font-family:Arial,Helvetica,sans-serif;line-height:18px">Virus-free. <a href="http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail" style="color:#4453ea" target="_blank">www.avg.com</a>
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</tbody></table><a href="#m_3502320734441759451_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2" width="1" height="1"></a></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Jan 19, 2021 at 3:56 PM Thomas Savarino <<a href="mailto:thomas.savarino@mac.com" target="_blank">thomas.savarino@mac.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="auto">I understand that you don’t want any help with this, but I can’t resist mentioning that you’d probably be better off doing everything in python and avoiding the dependence on Octave, so you should really consider what you need by way of calculation. Numpy probably has most if not all of the functions you’ll need. <div>Best of luck</div><div>S<br><div><br><div dir="ltr">Sent from my iPad</div><div dir="ltr"><br><blockquote type="cite">On Jan 19, 2021, at 11:13 AM, Michelle Thompson via Ground-Station <ground-station@lists.openresearch.institute> wrote:<br><br></blockquote></div><blockquote type="cite"><div dir="ltr"><div dir="ltr">Thank you very much Salvatore,<br><br>There is no Octave code base that I know of, but this is a very good direction. <br><br clear="all"><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr">-Michelle W5NYV<br><br><div dir="ltr"><br></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Jan 17, 2021 at 8:31 AM Salvatore Lionetti via Ground-Station <ground-station@lists.openresearch.institute> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Hi guys,</div><div><br></div><div>I'm sorry but I've started yesterday to work on this topic.<br></div><div><br></div><div>I've made the spreadsheet available on my personal Nextcloud web instance:</div><div><br></div><div><a href="https://cumlaborare.strangled.net/s/Ng5H3RmmZP8HzNE" target="_blank">https://cumlaborare.strangled.net/s/Ng5H3RmmZP8HzNE</a></div><div><br></div><div>By this way:</div><div>* multiple people can collaborate on the same document, at the same moment.<br></div><div>* comments are allowed,<br></div><div>* versioning is in force.</div><div><br></div><div>I've setup no password for now, but content can be recovered from a previous version very easily. (similar to Wikipedia)<br></div><div><br></div><div>In
the meanwhile I've verified that Jupyter can also use Octave
interpreter, giving us the possibility to have a
single code base. <br></div><div><br></div><div>Is there a (also partial) Octave code base to reuse?</div><div><br></div><div><div>Have a good day</div></div></div>
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