At 7 MHz, the reported frequency is = [7064991.736] Hz
Lower noise floor, zero QRM.
At 7 MHz, the reported frequency is = [7064991.753 7064991.753] Hz
Low noise, zero QRM.
In Python, I wrote these two lines of code:
stat = scipy.stats.describe(val2)
print (stat)
Slimy Skin responded with:
DescribeResult(nobs=4, minmax=(992.1617727771678, 992.1789242590559), mean=992.1703485181118, variance=9.805777698536452e-05, skewness=0.0, kurtosis=-2.0)
These are very nice long numbers. Apparently, Mike has 4 nobs that do not skew. Good job Mike -- I think.
The best part is the value of the word 'Kurtosis'. I like saying that word. It is allowed to be in the +/- 10 range.
I still don't understand the meaning.
The 992 numbers seem to pair with Senor Tom measurements.
I reported 991 after subtracting Rig Error.
I am finding that rig calibration is one of the key steps -- and the hardest -- to get Python to do.
Everything else falls nicely into place.
Hissy Fit Dan
I think David, AD8Y, mean to say that the paper algorithm uses more computation than fldigi's modified algorithm. The paper assumes a wideband sampled data set with a single frequency of interest. Even using narrow band transceiver filtering we can expect to experience QRM. The recursion described in the paper is bypassed by using the intelligent filter between the user's ears, and setting the cursor on the visible waterfall signal. Every reset of the waterfall cursor is also a restart of the recursion in which the previous estimate is used as the starting value for the next estimation.
David, W1HKJ
I think David, AD8Y, mean to say that the paper algorithm uses more computation than fldigi's modified algorithm. The paper assumes a wideband sampled data set with a single frequency of interest. Even using narrow band transceiver filtering we can expect to experience QRM. The recursion described in the paper is bypassed by using the intelligent filter between the user's ears, and setting the cursor on the visible waterfall signal. Every reset of the waterfall cursor is also a restart of the recursion in which the previous estimate is used as the starting value for the next estimation.
David, W1HKJ
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Average: | 10134993.927 |
Std Dev: | 0.044 |
Average: | 7064992.726 |
Std Dev: | 0.052 |
Average: | 7064992.786 |
Std Dev: | 0.031 |
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Capt Gerry Creager, CAP
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Capt Gerry Creager, CAP
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You’re welcome! I’m hoping we can have a talk about it at the HamSCI workshop.
73 Nathaniel
From: ham...@googlegroups.com <ham...@googlegroups.com>
On Behalf Of Gerald Creager
Sent: Thursday, January 20, 2022 10:31 AM
To: Unknown <ham...@googlegroups.com>
Subject: Re: ray trace request [was: [HamSCI] ppFMT#14 2020-09-15]
Great news, Nathaniel. Looking forward to seeing the product!
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