The ranking algorithm uses relevance as the basic ranking factor. And use popularity factor and friendliness factor to optimize ranking result.
这种排序算法以相关度作为排序的基本因素,利用流行因子和友好因子来优化排序。
However, the study of non-binary LDPC codes is less, the theory is not perfect, and the high complexity of its decoding algorithm seriously affecting its massive popularity.
但目前非二进制ldpc码的研究较少,理论不够完善,且其译码算法的复杂度较高,严重影响了它的大规模普及。
Test results on several types of samples indicate that the algorithm has strong popularity. The high accuracy of the method has also proved the validity of the algorithm.
通过对多类样本的测试,表明该算法具有较强的通用性,而较高的定位准确率证明了该算法的有效性。
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