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The Reed–Solomon code is actually a family of codes, where every code is characterised by three parameters: an alphabet size , a block length, and a message length, with <. The set of alphabet symbols is interpreted as the finite field F {\displaystyle F} of order q {\displaystyle q} , and thus, q {\displaystyle q} must be a prime power .
The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...
PDF417. PDF417 is a stacked linear barcode format used in a variety of applications such as transport, identification cards, and inventory management. "PDF" stands for Portable Data File. The "417" signifies that each pattern in the code consists of 4 bars and spaces in a pattern that is 17 units (modules) long.
A Swiss postal barcode encoding "RI 476 394 652 CH" in Code 128 (B & C) Code 128 is a high-density linear barcode symbology defined in ISO/IEC 15417:2007. [ 1] It is used for alphanumeric or numeric-only barcodes. It can encode all 128 characters of ASCII and, by use of an extension symbol (FNC4), the Latin-1 characters defined in ISO/IEC 8859 ...
C The MaxDpbSize, maximum number of pictures in the decoded picture buffer, for the maximum luma picture size of that level is 6 for all levels. [1] [2] The MaxDpbSize can increase to a maximum of 16 frames, if the luma picture size of the video is smaller than the maximum luma picture size of that level, in incremental steps of 4/3×, 2×, or 4×.
In information theory, Shannon's source coding theorem (or noiseless coding theorem) establishes the statistical limits to possible data compression for data whose source is an independent identically-distributed random variable, and the operational meaning of the Shannon entropy . Named after Claude Shannon, the source coding theorem shows ...
The two main categories of ECC codes are block codes and convolutional codes. Block codes work on fixed-size blocks (packets) of bits or symbols of predetermined size. Practical block codes can generally be hard-decoded in polynomial time to their block length. Convolutional codes work on bit or symbol streams of arbitrary length.
The scenario described by Welch's 1984 paper [1] encodes sequences of 8-bit data as fixed-length 12-bit codes. The codes from 0 to 255 represent 1-character sequences consisting of the corresponding 8-bit character, and the codes 256 through 4095 are created in a dictionary for sequences encountered in the data as it is encoded.
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