从网站上转过来的，包含了一些气象上常用的程序。总共有73页。

为深入研究全相位FFT ( all-phase FFT, apFFT ) 的相位谱性质以扩大其应用范围, 本文从极坐标相位谱图、矢量分析、矩阵分析及其仿真实验等多个角度阐述了apFFT 的相位测量机理, 较透彻地剖析了apFFT 的无需频谱校正的相位测量性质和抑制谱泄漏性能; 实验表明, apFFT 的测相方差至少比同阶数的FFT 测相方差低2/ 3 以上, 因而“全相位计”可望在设备故障诊断、电力系统谐波分析、GPS 导航定位等领域有着广阔应用。

噪声谱时频分析，DEMON 谱分析，辐射噪声仿真，包络谱调制

画出序列的时域波形图； 求出序列的傅里叶变换； 画出序列的幅度谱及相位谱，并对相关结果予以理论分析； 对序列进行时移，画出时移后序列的频谱图，验证傅里叶变换的时移性质；（幅度不变，只影响相位）

使用Python实现一段信号的频域分析与包络谱分析

Spectral Analysis of Large Dimensional Random Matrices(Second Edition) Zhidong Bai, Jack W.Silverstein 详细介绍了大维随机矩阵的特征值分布理论This book is dedicated to Professor Calyampudi radhakrishna rao's 90th Birthday Professor UIf Grenander's 87th Birthday Professor Yongquan Yins 80th Birthday and to My wife, Xicun Dan, my sons Li and steve gang, and grandsons Yongji, and Yonglin Zhidong bai My children, Hila and Idan ck W. silverstein Preface to the second edition The ongoing developments being made in large dimensional data analysis continue to generate great interest in random matrix theory in both theoret ical investigations and applications in many disciplines. This has doubtlessly contributed to the significant demand for this monograph, resulting in its first printing being sold out. The authors have received many requests to publish a second edition of the book Since the publication of the first edition in 2006, many new results have been reported in the literature. However, due to limitations in space, we cannot include all new achievements in the second edition. In accordance with the needs of statistics and signal processing, we have added a new chapter on the limiting behavior of eigenvectors of large dimensional sample covariance matrices. To illustrate the application of rmt to wireless communications and statistical finance, we have added a chapter on these areas. Certain new developments are commented on throughout the book. Some typos and errors found in the first edition have been corrected The authors would like to express their appreciation to Ms Li Hong for her help in the preparation of the second edition. They would also like to thank Professors Ying-Chang Liang, Zhaoben Fang, Baoxue Zhang, and Shurong Zheng, and Mr Jiang Hu, for their valuable comments and suggestions. They also thank the copy editor, Mr. Hal Heinglein, for his careful reading, cor rections, and helpful suggestions. The first author would like to acknowledge the support from grants NSFC

学习空间谱分析DOA资料，可以使用MATLAB进行阵列的定位计算

LMS Test.Lab中文操作指南_Spectral Testing谱分析.pdf

Matlab功率谱分析程序

分别用小波分解、小波包分解和EMD分解处理滚动轴承故障数据,并结合Hilbert变换进行包络谱分析实现滚动轴承故障诊断。对滚动轴承故障数据进行小波阈值降噪。小波阈值降噪后分别进行小波分解、小波包分解和EMD分解。分别求出小波分解、小波包分解和EMD分解后各个频带的能量谱。再根据能量谱确定故障频带范围并对其进行信号重构。采用Hilbert变换对重构信号进行包络谱分析实现滚动轴承故障诊断。通过对滚动轴承内圈故障信号的分析验证了小波分解、小波包分解和EMD分解结合Hilbert变换进行包络谱分析的滚动轴承故障诊断方法的有效性。