本资源是高阶谱工具箱，其中包含着累积量，谱分析等matlab函数。

解决??? XML-file failed validation against schema located in: D:\Program Files\MATLAB\R2007b\sys\namespace\info\v1\info.xsd XML-file name: d:\program files\matlab\r2007b\toolbox\hosa_d\hosa\info.xml To retest the XML-file against the schema, call the following java method: com.mathworks.xml.XMLValidator.validate(... 'd:\program files\matlab\r2007b\toolbox\hosa_d\hosa\info.xml',... 'D:\Program Files\MATLAB\R2007b\sys\namespace\info\v1\info.xsd', true) Errors: org.xml.sax.SAXParseException: cvc-complex-type.2.4.a: Invalid content was found starting with element 'area'. One of '{MathWorksID, type}' is expected. 运行hosaver： Warning: Could not find an exact (case-sensitive) match for 'hosaver'. D:\Program Files\MATLAB\R2007b\toolbox\hosa_d\hosa\HOSAVER.M is a case-insensitive match and will be used instead. You can improve the performance of your code by using exact name matches and we therefore recommend that you update your usage accordingly. Alternatively, you can disable this warning using warning('off','MATLAB:dispatcher:InexactMatch'). Higher-Order Spectral Analysis Toolbox. Version 2.0.3 (R12 compliant) 27 Dec 2000 安装原版工具箱之所以出现问题是因为没有将文件名全部改成小写，无法运行hosademo是因为缺少choices.m文件，参考http://cn.mathworks.com/matlabcentral/fileexchange/3013-hosa-higher-order-spectral-analysis-toolbox。本资源是整理后的工具箱，直接安装就可使用，运行hosaver显示成功安装信息，运行hosademo查看示例。

利用面积法求高阶微分方程系数，此为matlab文件，如有疑问可私信本人。

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完整版高阶统计量matlab代码，最常用的双谱等，实用好用

使用matlab实现对高阶邦加球的实验验证，调试通过，代码详细

张量高阶奇异值分解HOSVD算法，可以用于数字图像处理和信道估计方面。、

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There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blind system identification, time-delay estimation, harmonic retrieval, phase-coupling, direction of arrival estimation, parameter estimation of Volterra (non-linear) models, and adaptive linear prediction are implemented. Also included are algorithms for testing of Gaussianity and Linearity of a time series. A full tutorial and demo set are included in the toolbox.

将需要辨识的数据以.mat文件格式输入到程序中，即可对任意阶数系统进行参数辨识。