Matlab实现轨道不平顺随机样本生成与功率谱密度验证（含Kanai-Tajimi滤波、直接/间接谱估计、PPT与论文）

[{"title":"（ 12 个子文件 4.86MB ） Matlab实现轨道不平顺随机样本生成与功率谱密度验证（含Kanai-Tajimi滤波、直接/间接谱估计、PPT与论文）","children":[{"title":"55wTU03VWDYscun1KDiP-master-273770da4dea6a183e1e07a2faa7658102cc9205","children":[{"title":"PSES.py <span style='color:#111;'> 989B </span>","children":null,"spread":false},{"title":"Simulation of stochastic processes by spectral representation.pdf <span style='color:#111;'> 1.73MB </span>","children":null,"spread":false},{"title":"加密振动信号分析第三次大作业.pptx <span style='color:#111;'> 2.96MB </span>","children":null,"spread":false},{"title":"SEPS_direct.py <span style='color:#111;'> 369B </span>","children":null,"spread":false},{"title":"PSD.py <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"PSD.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"功率谱密度分析结果.png <span style='color:#111;'> 411.94KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 46B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":".inscode <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"SEPS_direct.m <span style='color:#111;'> 112B </span>","children":null,"spread":false},{"title":"PSES.m <span style='color:#111;'> 550B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]