Multi-scale fountain encode and decode method based on finite domain
A fountain coding and finite field technology, applied in the field of distributed data storage, can solve problems such as low time efficiency, high decoding complexity of multi-ary fountain codes, and short source length
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Embodiment 1
[0085] Select the source length as K=100, c=0.05, change the parameter δ, use robust solitary wave distribution for the degree of encoding, use the method described in step 1 of the present invention to encode, and then use the method described in step 2 of the present invention to translate code. Selecting two cases of q=2 and q=16, the simulation calculates the relationship between the probability of decoding failure and the coding efficiency as Figure 5 shown. In addition, the coding matrix is randomly and uniformly selected. In the case of q=2 and q=16, the relationship between the probability of decoding failure and the coding efficiency is calculated, and the calculation results are also placed in Figure 5 middle.
[0086] Due to the high density of the random fountain code, it can only be decoded by the conventional Gaussian elimination method, and the decoding complexity is O(K 3 ), which is difficult to apply in practice. This code can be used as a performance...
Embodiment 2
[0093] There is a fountain code with a source length of 5 based on finite field GF(4), let m 1 = 3, m 2 = 2, m 3 = 1, m 4 = 0, m 5 = 1, according to step 1, get:
[0094] 2 m 1 + 3 m 4 = 1 m 2 + 3 m 5 = 1 ...
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