BMWD

AcronymDefinition
BMWDBexar Metropolitan Water District (San Antonio, TX)
BMWDBerrenda Mesa Water District (est. 1963; Bakersfield, CA)
BMWDBroad Molecular Weight Distribution (materials engineering)
BMWDBangor-Monitor Water District (Bay County, Michigan)
References in periodicals archive ?
This decay is comparable for all samples, except for the bMWD'/ HE polymer, which exhibited a slower decay.
To evaluate the effect of CATR, table 4 shows the characteristics of two semicrystalline polymers at 71% and 66% C2, both exhibiting a bMWD'/LE architecture at 70 MV and 5% ENB.
Figure 4 shows the effect of CATR on the mixing of bMWD'/ LE polymers with a Mooney viscosity of 70.
HE polymers (bMWD' and nMWD') > nMWD'/LE > bMWD'/LE
The bMWD'/ HE polymer had the most intense dispersion peak of all the polymers; however, its profile takes the longest to reach a flat power draw at the end of the mixing cycle.
In the case of the nMWD'/LE architecture, the polymer also exhibited strong intensity of the CB incorporation peak comparable to the bMWD' polymers.
The probability, at any time [jT.sub.2] that the binary number 1 enters the BMWD is denoted by [P.sub.0] when only noise is present during the previous [T.sub.2] seconds, and is denoted by [P.sub.1] when a signal is present (in one of the N passbands).
At each time [jT.sub.2.], the BMWD computes [S.sub.j.], given by Equation 17, and compares it with the threshold [K.sub.M.], where M = [T.sub.1./T.sub.2] is the window length.
The probability of a detection by the BMWD is approximately equal to (and bounded below by) the probability that there are at least [K.sub.M] 1s in the window when the window is aligned in time with the transmission.
If the pulse-detection approach is competitive, then additional signal-processing techniques, such as BMWD should be considered.
Note that, for [10.sup.4] frequencies, IOT becomes better than simple pulse detection when b exceeds 3000, and better than BMWD with OR-gating when b exceeds [10.sup.4.].
pulse detection with BMWD. The upper left area corresponds to sparse signal occupancy, and the area under the curves corresponds to dense occupancy.