floyd

matlab绘制不同概率各种占空比的矩形随机信号的功率谱密度，本人亲自编写，代码精简效率高，且结果准确（网上流传的各种绘制矩形随机信号功率谱密度的matlab代码能画对的极少见...).(matlab draw rectangle with different probabilities of various duty cycle of the power spectral density of random signals, I am personally prepared, the code streamlined efficient and accurate (spread of the Internet to draw rectangles of various random signal power spectral density matlab code to draw on the rare ...).)

说明：  基于欧氏距离求解带状区域二值图的目标区域宽度(Solving Euclidean distance-based binary image of the band region the width of the target area)

matlab application for nonlinear partial differential evolution equations. is a matlab application for the numerical study of some nonlinear partial differential evolution equations

MCMC based Ising model simulation

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.)

MATLAB HHT(希尔伯特变换)工具箱(matlab HHT toolbox lib)

turbo乘积码，子码扩展汉明码，译码用chase算法(turbo product code, subcode extended Hamming code decoding algorithm with chase)

Linear programing Compressive sensing

用matlab实现RS（255,223）的编码，叫噪声，译码，并求出纠错个数，可以正确运行。(RS (255,223) coding using matlab, called noise, decoding, and calculated the number of error corrections, you can run correctly.)

这个程序实现了基于OFDM系统的信道估计DFT算法的实现(This application implements the DFT channel estimation algorithm based on OFDM system implementation )