Message-ID: <5BB36E63.4070201@posteo.de>
Date: Tue, 02 Oct 2018 15:10:59 +0200
From: DK7FC <selberdenken@posteo.de>
User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; de; rv:1.9.1.8) Gecko/20100227 Thunderbird/3.0.3
MIME-Version: 1.0
To: rsgb_lf_group@blacksheep.org
References: <d895927a-4933-cc29-2321-e6cf5d41686c@bigpond.com>
In-Reply-To: <d895927a-4933-cc29-2321-e6cf5d41686c@bigpond.com>
Subject: Re:VLF: EbNaut - message received
Content-Type: multipart/mixed;
 boundary="------------040500050506030004060207"
Sender: owner-rsgb_lf_group@blacksheep.org
Precedence: bulk
Reply-To: rsgb_lf_group@blacksheep.org

This is a multi-part message in MIME format.
--------------040500050506030004060207
Content-Type: multipart/alternative;
 boundary="------------040400060505090106080508"


--------------040400060505090106080508
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 7bit

Hi Edgar, VLF,

Once again we made it! And again i thank you for the patience and the RX 
and notebook our experiment occupied. Also thanks for providing the 
files each day.

Well, your result is based on the stack of the 21...26th September. 
After these 6 days, the message was decodable with the Windows decoder 
for the first time.
Actually we transmitted 2 days longer. These did even improve the stack. 
With 8 days stacked the decoder does only show two decodes, both of them 
show the correct message. Captures attached.

We decided to try a last experiment in this season: 5 characters! An 
announcement will follow.

73, Stefan


Am 02.10.2018 04:10, schrieb Edgar:
>
> A three character message "UFB", transmitted by Stefan Schaefer 
> (DK7FC) at JN48ik, has been received at QE37pd a distance of 16778 km.
>
> The message was encoded and decoded using the EbNaut software by Paul 
> Nicholson. http://www.abelian.org/
>
> Spectrum Lab software by Wolfgang "Wolf" Buescher (DL4YHF) was used to 
> capture the data. https://www.qsl.net/dl4yhf/spectra1.html
>
> Software provided by Markus Vester (DF6NM) was used to normalise and 
> stack the data to be decoded. http://www.df6nm.de/
>
> The result was obtained by stacking the data files received during the 
> 21 st and 26 th of September.
>
> The receiving set-up used a 1m x 28 mm diameter aluminium whip at 9m 
> with a FET buffer.
>
> A Steinberg UR242 Audio Interface and ASUS note book were used to 
> capture the data files.
>
> Thank you to Stefan, who made this result possible.
>
> Regards, Edgar
> Moonah, Tasmania.
>
> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

--------------040400060505090106080508
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 7bit

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
  <meta content="text/html; charset=UTF-8" http-equiv="Content-Type">
</head>
<body bgcolor="#ffffff" text="#000000">
Hi Edgar, VLF,<br>
<br>
Once again we made it! And again i thank you for the patience and the
RX and notebook our experiment occupied. Also thanks for providing the
files each day. <br>
<br>
Well, your result is based on the stack of the 21...26th September.
After these 6 days, the message was decodable with the Windows decoder
for the first time.<br>
Actually we transmitted 2 days longer. These did even improve the
stack. With 8 days stacked the decoder does only show two decodes, both
of them show the correct message. Captures attached.<br>
<br>
We decided to try a last experiment in this season: 5 characters! An
announcement will follow.<br>
<br>
73, Stefan<br>
<br>
<br>
Am 02.10.2018 04:10, schrieb Edgar:
<blockquote cite="mid:d895927a-4933-cc29-2321-e6cf5d41686c@bigpond.com"
 type="cite">
  <meta http-equiv="content-type" content="text/html; charset=UTF-8">
  <font face="Arial"><br>
A three character message "UFB", transmitted by Stefan Schaefer (DK7FC)
at JN48ik, has been received at QE37pd a distance of 16778 km.<br>
  <br>
The message was encoded and decoded using the EbNaut software by Paul
Nicholson. <a moz-do-not-send="true" class="moz-txt-link-freetext"
 href="http://www.abelian.org/">http://www.abelian.org/</a><br>
  <br>
Spectrum Lab software by Wolfgang "Wolf" Buescher (DL4YHF) was used to
capture the data. <a moz-do-not-send="true"
 class="moz-txt-link-freetext"
 href="https://www.qsl.net/dl4yhf/spectra1.html">https://www.qsl.net/dl4yhf/spectra1.html</a>
  <br>
  </font><br>
  <font face="Arial"><font face="Arial">Software provided by Markus
Vester (DF6NM) was used to normalise and stack the data to be decoded. <a
 moz-do-not-send="true" class="moz-txt-link-freetext"
 href="http://www.df6nm.de/">http://www.df6nm.de/</a> <br>
  <br>
  </font>The result was obtained by stacking the data files received
during the 21 st and 26 th of September.<br>
  <br>
The receiving set-up used a 1m x 28 mm diameter aluminium whip at 9m
with a FET buffer.<br>
  <br>
A Steinberg UR242 Audio Interface and ASUS note book were used to
capture the data files.<br>
  <br>
Thank you to Stefan, who made this result possible.<br>
  <br>
Regards, Edgar<br>
Moonah, Tasmania.</font>
  <div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br>
  <a moz-do-not-send="true" href="#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"
 width="1" height="1"></a></div>
</blockquote>
</body>
</html>

--------------040400060505090106080508--

--------------040500050506030004060207
Content-Type: image/png;
 name="3ch17470.png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="3ch17470.png"
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--------------040500050506030004060207
Content-Type: text/plain;
 name="2129n-log.txt"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="2129n-log.txt"
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--------------040500050506030004060207--