Storage and processing of document images based on sparse matrices are discussed.
讨论基于稀疏矩阵的文档图像存储及处理方法。
Matrices are related to efficiency of quadratic sieve to factor RSA modulus, runtime of the algorithm can be decreased by reduction of the large sparse matrices.
利用二次筛选法分解RSA的模数时，矩阵规模对算法性能有着重要的影响，缩减矩阵的规模可以有效地缩短算法的运行时间。
However, the performance of LDPC code depends on the girth of its bipartite graph, that is it depends on its sparse parity-check matrices H, especially the complexity of encoding with H.
而LDPC码性能的优劣，与其二分图中是否存在短长度的圈有关，也即与其奇偶校验矩阵的构造有关。
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