机译:基于高效的羔羊波损伤成像在复合层压板中使用多个稀疏贝叶斯学习
School of Reliability and Systems Engineering Beihang University Xueyuan Road No. 37 Haidian District Beijing China;
Science & Technology on Reliability and Environmental Engineering Laboratory Beihang University Xueyuan Road No. 37 Haidian District Beijing China Beijing Advanced Discipline Center for Unmanned Aircraft System Beihang University Xueyuan Road No. 37 Haidian District Beijing China;
School of Reliability and Systems Engineering Beihang University Xueyuan Road No. 37 Haidian District Beijing China Science & Technology on Reliability and Environmental Engineering Laboratory Beihang University Xueyuan Road No. 37 Haidian District Beijing China;
Science & Technology on Reliability and Environmental Engineering Laboratory Beihang University Xueyuan Road No. 37 Haidian District Beijing China;
Lamb wave; Sparse representation; Multiple sparse Bayesian learning; Composite laminates;
机译:基于稀疏性贝叶斯学习的多个海运目标的SAR成像
机译:基于多重稀疏贝叶斯学习的微运动目标ISAR成像新算法
机译:基于分层稀疏贝叶斯学习和吉布斯采样的贝叶斯系统识别及其在结构损伤评估中的应用
机译:使用非线性稀疏贝叶斯学习模型来确定多个临床认知评分与神经影像学测量之间的相关性
机译:高效的图像稀疏和低秩技术=高效的图像稀疏和低秩技术
机译:通过顺序多重稀疏贝叶斯学习的稀疏孔径InISAR成像
机译:基于序列多重稀疏贝叶斯学习的稀疏孔径InIsaR成像