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In aviation, the rule of three or "3:1 rule of descent" is a rule of thumb that 3 nautical miles (5.6 km) of travel should be allowed for every 1,000 feet (300 m) of descent. [1] [2] For example, a descent from flight level 350 would require approximately 35x3=105 nautical miles. This would have to be adjusted for headwind or tailwind, [1] and ...
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In close miking, a microphone is placed relatively close to an instrument or sound source, within three to twelve inches, producing a dry or non-reverberant sound. [1] This serves to reduce extraneous noise, including room reverberation and is commonly used when attempting to record a number of separate instruments while keeping the signals ...
For a 1 degree shift at 1 NM, there are about 100 feet of offset. This becomes very useful for estimating or correcting vertical speed settings and flight path angles (FPA) during climb, descent, or approaches. If a gradient in % is required, the numbers work out with the same rule: 1% over 1 NM ≈ 60'
The base name "E-6" was fairly arbitrary, as there were no standards for stock numbering at the time. For example, other USAAC computers of that time were the C-2, D-2, D-4, E-1 and G-1, and flight pants became E-1s as well. Most likely they chose "E" because Dalton's previously combined time and wind computer had been the E-1.
(*3×1, repeating the receiver's callsign up to 3 times, and the sender's once, is proper procedure and should be used when first establishing contact, especially over a long distance. A 1×1, i.e. 'Bronwyn this is Albacore,' or 2×1, i.e. 'Bronwyn, Bronwyn, this is Albacore,' is less proper, but acceptable especially for a subsequent contact ...
The Decca Tree setup evolved from the idea of a minimal recording technique using a pair of microphones. The first system was developed by Roy Wallace. The microphone triangle was placed about 3 to 3.6 m high above the stage level, near the conductor. The microphone system is not properly in front of the orchestra, but more "into" the orchestra.
Coordinate descent is an optimization algorithm that successively minimizes along coordinate directions to find the minimum of a function.At each iteration, the algorithm determines a coordinate or coordinate block via a coordinate selection rule, then exactly or inexactly minimizes over the corresponding coordinate hyperplane while fixing all other coordinates or coordinate blocks.