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High level view of the use of online codes. The online encoding algorithm consists of several phases. First the message is split into n fixed size message blocks. Then the outer encoding is an erasure code which produces auxiliary blocks that are appended to the message blocks to form a composite message. From this the inner encoding generates ...
The codes that they are given are called folded Reed-Solomon codes which are nothing but plain Reed-Solomon codes but viewed as a code over a larger alphabet by careful bundling of codeword symbols. Because of their ubiquity and the nice algebraic properties they possess, list-decoding algorithms for Reed–Solomon codes were a main focus of ...
Syndrome decoding is a highly efficient method of decoding a linear code over a noisy channel, i.e. one on which errors are made. In essence, syndrome decoding is minimum distance decoding using a reduced lookup table. This is allowed by the linearity of the code. [3]
Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not need to be counted as part of the transmitted information).
For example, the widely used (255,223) code can be converted to a (160,128) code by padding the unused portion of the source block with 95 binary zeroes and not transmitting them. At the decoder, the same portion of the block is loaded locally with binary zeroes. The QR code, Ver 3 (29×29) uses interleaved blocks.
QR codes which contain binary data will sometimes store it encoded in Base64 rather than simply storing the raw binary data, as there is a stronger guarantee that all QR code readers will accurately decode text, as well as the fact that some devices will more readily save text from a QR code than potentially malicious binary data.
001010011 1. 2 leading zeros in 001 2. read 2 more bits i.e. 00101 3. decode N+1 = 00101 = 5 4. get N = 5 − 1 = 4 remaining bits for the complete code i.e. '0011' 5. encoded number = 2 4 + 3 = 19 This code can be generalized to zero or negative integers in the same ways described in Elias gamma coding.
if , decode code word to be all 0's if d H ≥ t + 1 {\displaystyle d_{H}\geq t+1} , decode code word to be all 1's This algorithm is a boolean function in its own right, the majority function .