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Following is the general structure of a SYNOP message. The message consists of a sequence of numeric groups, which may also contain slashes (indicating missing data) in addition to numeric digits. Leading numbers are fixed group indicators that indicate the type of observation following, and letters are replaced with numbers giving the weather ...
pymetar and metar — Python libraries for METAR fetching and parsing; Using METAR data to see the Atmospheric Tide. Current reports. Selection of worldwide METAR reports from the U.S. NOAA; List of Stations in NOAA database. Use CTRL+F to search for a station. Input four-letter ICAO identifier to Worldwide METAR Data Access from the U.S. NOAA.
A BUFR message is composed of six sections, numbered zero through five. Sections 0, 1 and 5 contain static metadata, mostly for message identification. Section 2 is optional; if used, it may contain arbitrary data in any form wished for by the creator of the message (this is only advisable for local use).
Consistent Overhead Byte Stuffing (COBS) is an algorithm for encoding data bytes that results in efficient, reliable, unambiguous packet framing regardless of packet content, thus making it easy for receiving applications to recover from malformed packets.
As with ideal observer decoding, a convention must be agreed to for non-unique decoding. The maximum likelihood decoding problem can also be modeled as an integer programming problem. [1] The maximum likelihood decoding algorithm is an instance of the "marginalize a product function" problem which is solved by applying the generalized ...
The message is encoded in the fraction 0.538 (using decimal for clarity, instead of binary; also assuming that there are only as many digits as needed to decode the message.) The process starts with the same interval used by the encoder: [0,1), and using the same model, dividing it into the same four sub-intervals that the encoder must have.
To convolutionally encode data, start with k memory registers, each holding one input bit.Unless otherwise specified, all memory registers start with a value of 0. The encoder has n modulo-2 adders (a modulo 2 adder can be implemented with a single Boolean XOR gate, where the logic is: 0+0 = 0, 0+1 = 1, 1+0 = 1, 1+1 = 0), and n generator polynomials — one for each adder (see figure below).
One of the applications of locally decodable codes in complexity theory is hardness amplification. Using LDCs with polynomial codeword length and polylogarithmic query complexity, one can take a function : {,} {,} that is hard to solve on worst case inputs and design a function ′: {,} {,} that is hard to compute on average case inputs.