sparseMRI_v0.2.tar

30个MATLAB学习的案例，神经网络的实用例子(30 MATLAB case study, neural network of practical examples)

this m.file produces channel coefficient with some error, in which the estimation error follows a random variable with zero mean and variance of MSE. lat is the latitude of BS places at different cells which is used to determine the number of BSs in the networks

三维TOA/AOA定位的泰勒级数展开最小二乘算法MATLAB源代码(Three dimensional TOA/AOA positioning Taylor series expansion least squares algorithm MATLAB source code)

小波边缘检测matlab源程序，利用matlab提供的小波函数对图像进行行、列变换。(The matlab program code use wavelet edge detection)

transfer function code(transfer function code in matlab)

CFD simulation of velocity in y-direction

含分布式电源的配电网日前两阶段优化调度模型，EI论文源程序，放心使用(A Day-Ahead Two-Stage Optimal Scheduling Model for Distribution Network Containing Distributed Generations)

帮助新手快速学习matlab，很容易上手的，是一些基础知识。(Help novices quickly learn matlab, very easy to use, is some basic knowledge.)

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.