MMA_echo-cancellation

一本详细介绍混沌时间序列原理与应用的书，不错的(A detailed application of chaos theory and time series of the book, a good)

说明：  MATLAB在图形窗口中绘制或输出图形，MATLAB to draw in the graphics window or output graphics(MATLAB to draw in the graphics window or output graphics)

this program in matlab

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

说明：  利用复高斯随机矩阵来模拟随机散射介质模型(The complex Gaussian random matrix is used to simulate the random scattering medium model)

用mathematica画的彩色3D的机器猫。(3D color painting with mathematica of Doraemon.)

自己编写的RLS格型算法Matlab程序,供大家参考。(RLS algorithm, the performance is ok.)

psk技术实现，并有详细的程序，有助于通信软件的开发(psk technology, and the detailed procedures, contribute to the development of communications software)

matlab_主成分,模式识别，用与主特征提取(principle compoment analysis)

3 plane wave to solve band structure