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ex588
- Based on negative entropy largest independent component analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Can be widely used in data analysis and forecast data.
uh441
- By applying the beam forming technology of BER Based chebyshev underwater acoustic signal analysis, Energy entropy calculation.
1301
- Based on negative entropy largest independent component analysis, Virtual power wireless sensor network coverage, Numerical solution of differential equations method.
7403
- Convolution operation is intended to signal and image rendering, Data analysis, plotting, etc., Based on negative entropy largest independent component analysis.
8615
- Based on negative entropy largest independent component analysis, Matlab wavelet analysis on complex, NRZ type differential phase modulation signal modeling and simulation analysis.
prjnp
- Based on negative entropy largest independent component analysis, ICA (Principal Component Analysis) algorithm and procedures, Pisarenko harmonic decomposition algorithm.
K-order Markov Chain in Mobile Social Networks
- 针对移动社交网络中节点中心性预测问题，提出基于K阶马尔科夫链的中心性预测方法。在真实移动社交数据集的中计算信息熵分析节点中心性的过去与未来规律性，研究了节点中心性的可预测性。利用节点中心性的历史信息，构建状态转移概率矩阵，预测节点未来中心性值, 并通过分析真实值与预测值之间的误差评估了这些预测方法的性能。结果表明，当阶数K=2时，与四种基于时窗的中心性预测方法比较，基于K阶马尔科夫链的预测模型在MIT数据集和Infocom 06数据集中虽不在个体上优于已提出的预测方法，但在整体上达到了优化。(w