About 40% of ULMs contain non-random chromosomal anomalies involving a small number of specific chromosomal regions [1].
In particular, performance under uniform, single anomaly, and random parameter distributions is investigated.
The authors of a more recent work[38] extend the classical RX anomaly detector[39] to directly detect anomalies from random, orthonormal projection measurements without an intermediate reconstruction step.
In other words, following the Bayes theorem, attempting to detect anomalies using this form of random detection has the following property: P ( anomaly | rand ) = P ( rand | anomaly ) ∗ P ( anomaly ) P ( rand ) (8).
To characterize meiotic anomalies in infertile men by multiplex fluorescence in situ hybridization (M-FISH) and to determine whether synaptic problems affect specific bivalents or whether anomalies are random.
All three anomalies of random inhomogeneities were rich in short-wavelength spectra.
The CMB is the product of a random process, so the anomalies could simply be statistical flukes.
Anomalies of random inhomogeneities at 30 70 km depth in Takahashi et al. (2011) were imaged beneath Hachijo-jima, the Aoga-shima Sumisu-jima Aoga-shima Sumisu-jima
The studies on wave scattering had reported that random inhomogeneities showed three anomalies at 30 70 km depth beneath the volcanic front (Takahashi et al. 2011).
All of these anomalies of random inhomogeneities were characterized by a gradual spectral gradient of power spectral density at large wavenumber.
