Measured Statistical Characteristics of VLF Atmospheric Radio Noise

Watt, A. D.; Maxwell, E.

doi:10.1109/jrproc.1957.278256

Cited by 38 publications

(19 citation statements)

References 7 publications

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“…The particular measurements that have been reported in this category are measurements of the probability distribution of the time interval between crossings of a specified level by the envelol.e of the noise. 7 While available experimental data are sparse, being restricted to a few mneasurements at VLF) it is also true that the analytical derivation of these statistics is complicated, requiring machine computation in the general case. We use similar approximatioxksto demonstrate agreement of our log-normal model with higher-order data.…”

Section: B Properties Of the Log-normal Modelmentioning

confidence: 99%

Statistical Analysis of LF/VLF Communication Modems

Omura¹

1969

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Section: B Properties Of the Log-normal Modelmentioning

confidence: 99%

Statistical Analysis of LF/VLF Communication Modems

Omura¹

1969

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“…An alternative form of presentation has been studied [2], [6], [19]. If the noise envelope amplitude is expressed in logarithmic units, the distribution is found to follow approximately a normal law over a range of probabilities.…”

Section: A Distribution Lawsmentioning

confidence: 99%

Structural aspects of atmospheric radio noise in the tropics

Ibukun

1966

Proc. IEEE

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The amplitude probability and pulse rate distributions of noise envelope have been made the basis of a study of some structural aspects of atmospheric radio noise in a tropical area. The lognormal character of radio noise in the tropics has also been investigated. Direct comparisons are made with results obtained in temperate latitudes. The differences in the structural characteristics of noise have been related to intense local thunderstorm activity on tropical land masses.

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“…) .e(2n)(t) -0, ki -0 for i > EL; (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) with the boundary conditions…”

Section: Maxization Ofmentioning

confidence: 99%

“…reads as "the ath binit in the sequence of k information binits in a code word", refers to 9 unique binit. Now, P an arbitrarily chosen info binit = a specific info binit = i (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) i ~thus,• t P = k Ptthe Cth info binit at the decoder output is in error) (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) a=l Consider the set of all binits in the code word; with each binit associate a number dj, il6dj 4n, so that by referring to "the dj th binit", reference is made to a unique binit in the word.…”

Section: (6-15)mentioning

confidence: 99%