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1.442695 bits (log 2 e) – approximate size of a nat (a unit of information based on natural logarithms) 1.5849625 bits (log 2 3) – approximate size of a trit (a base-3 digit) 2 1: 2 bits – a crumb (a.k.a. dibit) enough to uniquely identify one base pair of DNA: 3 bits – a triad(e), (a.k.a. tribit) the size of an octal digit 2 2: nibble
Tablet cases sizes Tablet PC Height Width Depth Screen Case size Acer Iconia Tab A500 [1]: 10.2 in (260 mm) 7 in (180 mm) 0.52 in (13 mm) 10.1 in (260 mm)
The term bit length is technical shorthand for this measure. For example, computer processors are often designed to process data grouped into words of a given length of bits (8 bit, 16 bit, 32 bit, 64 bit, etc.). The bit length of each word defines, for one thing, how many memory locations can be independently addressed by the processor.
A system with 8 possible states, for example, can store up to log 2 8 = 3 bits of information. Other units that have been named include: Base b = 3 the unit is called "trit", and is equal to log 2 3 (≈ 1.585) bits. [3] Base b = 10 the unit is called decimal digit, hartley, ban, decit, or dit, and is equal to log 2 10 (≈ 3.322) bits. [2] [4 ...
10 −2: 5.0×10 −2 bit/s Text data Project ELF bit rate for transmitting 3-letter codes to US nuclear submarines [1] [2] 10 0: bit/s 10 1: 5.0×10 1 bit/s Positioning system Bit rate for transmissions from GPS satellites [3] 5.6×10 1 bit/s Text data Bit rate for a skilled operator in Morse code [4] 10 3: kbit/s 4×10 3 bit/s Audio data
A double bridle, also called a full bridle or Weymouth bridle, [1] is a bridle that has two bits and four reins (sometimes called "double reins"). One bit is the bradoon (or bridoon ), is a modified snaffle bit that is smaller in diameter and has smaller bit rings than a traditional snaffle, and it is adjusted so that it sits above and in front ...
As an example, on the IBM 7030 [4] ("Stretch"), a floating point instruction can only address words while an integer arithmetic instruction can specify a field length of 1-64 bits, a byte size of 1-8 bits and an accumulator offset of 0-127 bits.
Thus, only 10 bits of the significand appear in the memory format but the total precision is 11 bits. In IEEE 754 parlance, there are 10 bits of significand, but there are 11 bits of significand precision (log 10 (2 11 ) ≈ 3.311 decimal digits, or 4 digits ± slightly less than 5 units in the last place ).