Abstract: A security camera and assembly include a camera lens assembly, a lens tilt locking mechanism, and a grab handle having LEDs mounted thereon. Embodiments include a lens tilt locking mechanism coupled to the camera lens assembly for setting a field of view (FOV) for a camera lens of the camera lens assembly. The grab handle is pivotally coupled to the camera lens assembly via a pivoting mechanism. The grab handle having LEDs mounted thereon pivots to provide independent control of illumination to the FOV without shifting the FOV. In a further embodiment, the grab handle may further include an antenna embedded therein.

Abstract: A security camera and assembly include a camera lens assembly, a lens tilt locking mechanism, and a grab handle having LEDs mounted thereon. Embodiments include a lens tilt locking mechanism coupled to the camera lens assembly for setting a field of view (FOV) for a camera lens of the camera lens assembly. The grab handle is pivotally coupled to the camera lens assembly via a pivoting mechanism. The grab handle having LEDs mounted thereon pivots to provide independent control of illumination to the FOV without shifting the FOV. In a further embodiment, the grab handle may further include an antenna embedded therein.

Abstract: Disclosed are intermediates and methods of synthesizing Compound 1.

Abstract: Disclosed are intermediates and methods of synthesizing Compound 1.

Abstract: Systems and methods for autonomous signal modulation format identification are disclosed. In an example embodiment of the disclosed technology, a method includes applying higher-order statistics to an input signal to identify the input signal's modulation format. The method may include applying higher-order statistics to the input signal to calculate higher-order cumulant values for the input signal as higher-order cumulants are indicative of a particular modulation format signature. The method may further include employing a decision tree to determine the modulation format of the input signal.