2015
DOI: 10.3788/fgxb20153606.0661
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Study on Amplified Spontaneous Emission Properties of EnBOD Material

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Cited by 6 publications
(3 citation statements)
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“…Definition of the sound source for the random diffusion of the sound field and the determination of the sound field of the sound pressure distribution by the spectrum [17]: A noise spectrum is the given data in Table 4. us, the sound pressure level must be converted to sound pressure to obtain the sound pressure spectrum [18].…”
Section: Modal Analysis Resultsmentioning
confidence: 99%
“…Definition of the sound source for the random diffusion of the sound field and the determination of the sound field of the sound pressure distribution by the spectrum [17]: A noise spectrum is the given data in Table 4. us, the sound pressure level must be converted to sound pressure to obtain the sound pressure spectrum [18].…”
Section: Modal Analysis Resultsmentioning
confidence: 99%
“…If we number the indicators and the gray clusters, we will have the j (j = 1, 2, 3, 4, 5, 6, 7, 8) indicator k (k = 1, 2, 3, 4, 5) gray cluster to represent the "k" gray cluster of the "j" indicator. Next, we will set the whitening weighted function of the "k" gray cluster of the "j" indicator [15].…”
Section: The Determining Of Whitening Weighted Functionmentioning
confidence: 99%
“…If the whitening weight function does not have the first and the second turning points, then f k j (•) is a lower measure whitening weight function, recorded as f k j −, −, x k j (3), x k j (4) ; if the second and the third turning points of the whitening weight function overlap, then f k j (•) is called a moderate measure whitening weight function, recorded as f k j x k j (1), x k j (2), −, x k j (4) ; if the whitening weight function does not have the third and the fourth turning points, then f k j (•) is called an upper measure whitening weight function, recorded as f k j x k j (1), x k j (2), −, − . Here, we respectively select the lower measure whitening weight function to indicate the measure of gray clusters at a low development level; the moderate measure whitening weight functions to indicate the measures of gray clusters at a relatively high development level, medium development level and medium-to-low development levels [15]; the upper measure whitening weight function to indicate the measure of gray cluster at the high development level. The whitening weighted function of each provincial area can be determined from a holistic view based on the agricultural mechanization development levels of the 31 provincial areas in the year 2005, the year 2010 and the year 2015, which can be used to indicate the turning points at which each indicator starts to belong to the gray clusters.…”
Section: The Determining Of Whitening Weighted Functionmentioning
confidence: 99%