Matlab谱表现法生成过滤的Kanai-Tajimi谱(金井清谱)，再生成加速度样本，用时域和频域进行计算和统计样本与原始谱进行分析(内附代码，论文 .zip

[{"title":"（ 16 个子文件 5.02MB ） Matlab谱表现法生成过滤的Kanai-Tajimi谱(金井清谱)，再生成加速度样本，用时域和频域进行计算和统计样本与原始谱进行分析(内附代码，论文 .zip","children":[{"title":"时域频域对比分析.jpg <span style='color:#111;'> 49.62KB </span>","children":null,"spread":false},{"title":"Duhamel.m <span style='color:#111;'> 320B </span>","children":null,"spread":false},{"title":"Fre1.m <span style='color:#111;'> 325B </span>","children":null,"spread":false},{"title":"荷载单侧幅值.jpg <span style='color:#111;'> 21.14KB </span>","children":null,"spread":false},{"title":"kanaitajimi谱.jpg <span style='color:#111;'> 47.29KB </span>","children":null,"spread":false},{"title":"加速度样本函数.jpg <span style='color:#111;'> 71.26KB </span>","children":null,"spread":false},{"title":"独立同分布高斯序列生成白噪声.jpg <span style='color:#111;'> 51.74KB </span>","children":null,"spread":false},{"title":"Fre2.m <span style='color:#111;'> 267B </span>","children":null,"spread":false},{"title":"统计样本响应得到功率谱密度估计值.jpg <span style='color:#111;'> 24.45KB </span>","children":null,"spread":false},{"title":"荷载幅值.jpg <span style='color:#111;'> 22.95KB </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":"SIMULATION OF STOCHASTIC PEOCESSES.m <span style='color:#111;'> 4.76KB </span>","children":null,"spread":false},{"title":"位移幅值.jpg <span style='color:#111;'> 25.03KB </span>","children":null,"spread":false},{"title":"加密振动信号分析第五次作业 .pptx <span style='color:#111;'> 3.24MB </span>","children":null,"spread":false},{"title":"频域解析法功率谱密度.jpg <span style='color:#111;'> 22.32KB </span>","children":null,"spread":false},{"title":"杜哈梅位移曲线.jpg <span style='color:#111;'> 38.48KB </span>","children":null,"spread":false}],"spread":true}]