Because the mutual information (MI) measure can identify both linear and nonlinear relationships between the components, the proposed method can be viewed as a generalization of the ACMTF method; thus, it is ca
generalized entropiesjensen's differenceinformation theorymutual informationsimilarity measuresTwo new similarity measures for rigid image registration, based on the normalization of Jensen's difference applied to Reriyi and Tsallis-Havrda-Charvat entropies, are introduced. One measure is normalized by the...
We use the generalized sequence pattern, GSP [12], as the baseline for comparison on the efficiency of the M3Cap algorithm. The three core steps of GSP are (1) finding the frequent 1-items to generate one-level sequence patterns; (2) linking and pruning to generate candidate patterns; and...
To address this problem, the generalized divergence measure based on Renyi Entropy [17], Kullback-Leibler Divergence [18], mutual information (MI) and cross-cumulative residual entropy (CCRE) [19] have been proposed. Among these metrics, MI has been investigated in-depth and widely applied to...
3.1. Generalized LNMS Decoding Algorithm This section provides a detailed description of the iterative LNMS LDPC decoding process utilized in the receiver of the flash storage system. As shown in Figure 2, the system architecture includes several key components: detector, LPU, CN, VN, and decisio...