12,981 to 12,990 of 13,070 Results
Python Source Code - 11.7 KB -
MD5: ba70492d9fd783c4468dee6b3e394b6d
Calculates figures 3 and 4 to find out when cross-correlation between receivers become significant |
Python Source Code - 6.2 KB -
MD5: 58e03dc8bfbac8ec8b2c76621a4b7674
MiscellancelousFunctions |
Python Source Code - 1.9 KB -
MD5: 858c5e6fc09878fb307d9f4c4c7f9dcb
Functions for calculating debye length, thermal speed and pghdrhdhlasma frequency |
Python Source Code - 7.2 KB -
MD5: 2b3113e7d2ed2ccc50fe59cccbd494e3
Functions for handling the radar target (Plasma) |
Python Source Code - 21.6 KB -
MD5: ed30fbd9f2b41bd246c202eeaf58a815
Uses the radar equation to find integration time and range resolution for a desired uncertainty |
Python Source Code - 17.2 KB -
MD5: af5ed076dc85fe6fcd2a2f12549b5243
Functions to analyse the uncertainty of the reconstructed image. |
Tabular Data - 4.4 KB - 1 Variables, 50 Observations - UNF:6:VbsDGr5ENhKr98xIVKzNCA==
44x44 image formed like a "J" |
Feb 1, 2021 - TROLLing
Sönning, Lukas; Pascoe, Graham, 2021, "Final voiced obstruents in German Learner English: Dataset for chapter 10 in "Phonological variation in German Learner English"", https://doi.org/10.18710/DKIGE5, DataverseNO, V1, UNF:6:vzlL926TQvn0ppyJECQCBw== [fileUNF]
This dataset contains tabular files with (i) auditory data on final voiced obstruent (FVO) production by German learners and (ii) acoustic measurements of the preceding vowel duration by German learners and native speakers. The data originate from two different studies. The audit... |
Plain Text - 11.5 KB -
MD5: 64dc04ec1090f8f6f4722621a3a1e462
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Tabular Data - 24.5 KB - 1 Variables, 642 Observations - UNF:6:9HAxNizbt2Rr2heDFawlyg==
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