Traditional direction of arrival (DOA) estimation methods wideband linear frequency modulated (LFM) signal based on the fractional Fourier transform (FRFT) highly depend peak value LFM in FRFT domain. However, can be affected by various factors, such as a low signal-to-noise ratio (SNR), small number snapshots, or large incident angle signals, which lead to decrease DOA accuracy. To tackle this...

[1] It is widely accepted that the ionosphere is an important source of ions in the magnetosphere and until recently this population has largely been neglected from many global simulations. In this study, a causally regulated cusp O outflow is added to the multifluid version of the Lyon‐Fedder‐Mobarry (LFM) global simulation. The cusp outflow algorithm uses empirical relationships to regulate t...

MOTIVATION The rapidly growing protein structure repositories have opened up new opportunities for discovery and analysis of functional and evolutionary relationships among proteins. Detecting conserved structural sites that are unique to a protein family is of great value in identification of functionally important atoms and residues. Currently available methods are computationally expensive a...

Many psychology applications assess measurement invariance of a construct (e.g., depression) over time. These applications are often characterized by few time points (e.g., 3), but high rates of dropout. Although such applications routinely assume that the dropout mechanism is ignorable, this assumption may not always be reasonable. In the presence of nonignorable dropout, fitting a conventiona...

Proper force calibration is a critical step in atomic and lateral force microscopies (AFM/LFM). The recently published torsional Sader method [C. P. Green et al., Rev. Sci. Instrum. 75, 1988 (2004)] facilitates the calculation of torsional spring constants of rectangular AFM cantilevers by eliminating the need to obtain information or make assumptions regarding the cantilever's material propert...

The moving average (MA) method has been widely used in signal processing, but it problems of the dead zone and fixed window. In this paper, an adaptive (AMA) filtering is proposed, which can sniff inherent characteristics assign time-varying optimal parameters to hence solve window problems. Firstly, paper builds theoretical framework AMA, including trial steps optimization necessary parameters...