Analysis of the synergistic complementarity between bubble entropy and dispersion entropy in the application of feature extraction

Most of the existing studies on improvement entropy are based theory single entropy, ignoring relationship between one and another. Inspired by synergistic bubble (BE) permutation (PE), which has been pointed out previous authors, this paper aims to explore dispersion entropy. Since outperforms in many aspects, it provides better stability enhances computational efficiency We also speculate that there should be potential synergy Through experiments, we demonstrated complementarity BE DE proposed a double feature extraction method DE. For experiment, have recognition performance for sea state signals bearing signals, respectively; extraction, combination makes rate increase 10.5% reach 99.5%.