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非线性滤波算法工具箱，包括EKF、UKF、PF、PMF和ITKF等估计算法。(Nonlinear filtering algorithm toolbox, including the EKF, UKF, PF, PMF and ITKF such estimation.)

说明：  很经典的emd程序，可以运行使用，法国学者编写(It is a classic EMD program, which can be run using)

讲述在移动通信方面的信道估计的原理及研究(Described in the mobile communications channel estimation principle and Research)

pca图像融合原代码，功能能很强大,很实用(nice pca code )

盲源分离的自适应在线学习方法，采用最大熵，四个源信号，四个混合信号和自然梯度方法(Adaptive online learning method for blind source separation using the maximum entropy, four source signals, four mixed-signal, and the natural gradient method)

为我们提供了一段白噪声数据产生的matlab程序(to provide us with a white noise of data procedures Matlab)

说明：  duda模式分类第二版的分类器工具箱，源代码(duda pattern classification the second edition of the classifier toolbox, source code)

说明：  numerical solution on PDE

Generation of AWGN as a function of ExN0

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(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 blin)