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When one's sexual arousal is based on imagining oneself in another physical form (such as an animal, an infant, or an amputee) the erotic target is said to be one's self, or erotic target identity inversion (ETII).
CEP is not a good measure of accuracy when this distribution behavior is not met. Munitions may also have larger standard deviation of range errors than the standard deviation of azimuth (deflection) errors, resulting in an elliptical confidence region. Munition samples may not be exactly on target, that is, the mean vector will not be (0,0).
Autogynephilia would represent an inwardly directed form of gynephilia, with the attraction to women being redirected towards the self instead of others. These forms of erotic target location errors have also been observed with other base orientations, such as pedophilia, attraction to amputees, and attraction to plush animals.
These delayed signals cause measurement errors that are different for each type of GPS signal due to its dependency on the wavelength. [4] A variety of techniques, most notably narrow correlator spacing, have been developed to mitigate multipath errors. For long delay multipath, the receiver itself can recognize the wayward signal and discard it.
Two years later, HEL conducted HELBAT II, which saw a reduction in average target location errors from 490 meters to 21 meters with the laser range finder. [19] [20] Improvements to other aspects of the artillery were made in subsequent HELBATs. During the 1970s, HEL conducted five more HELBATs, and HELBAT VIII took place in 1981. [21]
The Kalman filter assumes that the measurement errors of the radar, and the errors in its target motion model, and the errors in its state estimate are all zero-mean with known covariance. This means that all of these sources of errors can be represented by a covariance matrix. The mathematics of the Kalman filter is therefore concerned with ...
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Ideally small changes in the measured data will not result in large changes in output location. The opposite of this ideal is the situation where the solution is very sensitive to measurement errors. The interpretation of this formula is shown in the figure to the right, showing two possible scenarios with acceptable and poor GDOP.