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Re: [IRCA] Elad FDM S1 + Miscellaneous Mumblings
- Subject: Re: [IRCA] Elad FDM S1 + Miscellaneous Mumblings
- From: Nick Hall-Patch <nhp@xxxxxxxx>
- Date: Tue, 31 Dec 2013 07:01:46 +0000
Good luck with the SDR, Michael. As you know, Perseus is the present
kingpin among MW DXers, so you've got a good user base to refer to if
there are things that don't make sense on opening the package. But
the Elad does look like a good deal if you are feeling adventurous.
It's an interesting point that you raise about regression analysis as
applied to overseas signal strengths. I have very little experience
with it, pretty much limited to deriving coefficients for a known
equation using someone else's program, and that quite some time ago.
Two things are a concern to me. One is that the late Bob Brown,
NM7M, who studied the daylights out of 160 meter (and other bands)
propagation, was a retired physicist, and to my recollection, never
mentioned regression analysis as a way of making sense of reception
patterns, though I would imagine it must have been part of his
professional toolbox. I suspect that even the relationships with
A-indices look pretty random, barring "high A-indices (almost always)
suppress good reception of Asiatic signals in Victoria, except on
occasional October mornings"
The other is that although it is fairly easy to get times of peak
signal strength from an SDR recording, it is more difficult, at least
for me, to derive a really accurate signal strength on a given
signal, as most of our DX is polluted by varying levels of local and
atmospheric noise, as well as domestic splatter. Of course, then
there is the question of whether 1575 was VoA (usually), or whether
AFN or R. Farda were "interfering" with it on a given morning (bring
it on, hi)...the raw data might tell you, if you have a high
enough quality recording to derive signals a Hertz or two apart.
But if you have some ideas, I have a sunspot cycle's worth of data on
JOAK, 4QR and HLAZ signal strengths (with some 4QD thrown in), or
perhaps more accurately, "signal to noise" strengths. Bob Brown made
some suggestions about how I should handle that, but regression
analysis didn't enter into it.
best wishes, & HNY to you also.
Nick
At 03:42 31-12-13, you wrote:
Hi everyone and Happy New Year - I'm thinking of making the jump
into an SDR, largely because I never seem to have time to sit and
listen when conditions are good and I want to do some timeshifting
through the recording capabilities of an SDR. I've been doing a
bunch of research, mostly around the Perseus and Winradio products,
but came across the Elad today and was wondering if anyone has any
experience with it. The price seems really good, and it seems to be
able to record a huge bandwidth. I also have heard that a new
version, the S2 is due out soon.
On a completely unrelated topic I have been giving some thought to
the data that is collected on the TP's every day. It seems to me
that there must be some way to determine sets of local variables
associated with each data point (ie lat/long, height above sea
level, terrain type, soil conductivity, weather, minutes
before/after sunrise at receiver etc) and global variables (ie
sunspot count, A/K indices, etc) and take the data points themselves
(frequency, tx location, tx power, minutes before/after
sunrise/sunset at tx, some sort of signal strength estimate based on
SIO or something more accurate like dBm etc) - run them through a
regression analysis and try and determine the primary variables for
TP reception - which might allow greater signal level predictability
from various parts of the Pacific to the west coast. I say the west
coast only because we seem to have a cluster of listeners here that
are close enough together and yet far enough apart (from Seaside to Haida Gw!
aii) that I think it may be easier to do than if the same exercise
was conducted continent (or world) wide. I dunno - maybe it's been
attempted and I just don't know it, but I'm not aware of anything
like this. It's just that I think that a whack o'data is being
collected, and maybe there might be a use for it. Does anyone have
access to a university or corporate level regression analyzer? We'd
need many months of data (at minimum) to start, and probably
initial atttempts won't find anything really significant and we'll
have to look for other variables or (what I think is more likely)
the regression for day 0 will be correlated with some variable(s)
a/w days earlier. I would like to be part of any effort to do
something like this 'cuz I'd like to know what days it will be
worthwhile getting up early in the AM... :-)
Thanks very much everyone, and HNY again!
Regards,
Michael Yule
Lions Bay BC
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