altreadsegy

高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！(Gaussian process is a non- parametric method of learning, it is very natural for regression. can also be used for classification. The procedures used to achieve classification Gaussian process!)

改代码为基于Konhone网络的分类算法，是MATLAB人工智能的经典算法(Change the code based classification algorithm Konhone networks, artificial intelligence is a classical algorithm MATLAB)

matlab数值分析详解，新手入门必备，常用matlab技术。(matlab numerical analysis Xiangjie, the Getting Started essential, commonly used matlab technology.)

说明：  各种粒子群优化算法，免疫粒子群优化算法，混沌粒子群算法(Various particle swarm optimization algorithms, immune particle swarm optimization algorithm, chaotic particle swarm optimization algorithm)

save out a series of images from a movie in Matlab

Sampling theorem. Natural Sampling.

说明：  Solves coal gasification problem in matlab

说明：  半车动力学模型，可用于动力学分析，用于分析垂向激励与整车响应的关系(half car dynamics model)

假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

Landweber迭代正则化的加速，一个很好的正则化方法！(Landweber iterative regularization of the acceleration, a good regularization method!)