CX16_1

This program explain how FFT in Matlab works

解线性方程组的直接法（标准数值算法），包括高斯消去法程序、列主元高斯消去法程序、LU分解以及用LU分解求线性方程组、Cholesky分解以及用Cholesky分解求线性方程组、改进的Cholesky分解以及用改进的Cholesky分解求线性方程组、解三对角方程的追赶法。全部为本人原创程序，且全部经过测试无误。共9个MATLAB程序。程序内部含详细注释。(Solving linear equations of the direct method (standard numerical algorithms), including Gaussian elimination procedure, the column pivot Gaussian elimination procedure, LU decomposition and the use of linear equations, LU decomposition, Cholesky decomposition, and find line with the Cholesky decomposition linear equations, Cholesky decomposition and improved using the improved Cholesky decomposition of linear equations, solution of tridiagonal equations pursuit method. All of my original program, and all tested correctly. A total of nine MATLAB. Internal procedures with detailed notes.)

ITS ALSO matlab code for p and o mppt . its useful

齿轮箱信号分析处理，去噪处理，小波分析，功率谱分析(Gearbox signal analysis and processing, denoising, wavelet analysis, power spectrum analysis)

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.)

2D_ watermarking source image to wartermarking image

Continuous Dynamic Time Warping Algorithm using a Linear Interpolation Model,

基于MATLAB的系统分析与设计——时频分析，是系统分析的好书(the systems anlynsis and design base on matlab.)

Simple precoding and decomosition fuction

MATLAB实现WiMAX物理层的平台搭建，并仿真实现QPSK,PSK调制(MATLAB WiMAX physical layer of the platform and the simulation realization of QPSK, PSK modulation)