MIT-wavelet

基于神经网络之中的BP算法的matlab仿真(Based on the BP neural network algorithm matlab simulation)

以波音747为背景，建立了飞机运动的空间六自由度仿真模型。其中包含以下部分： 1. 飞机运动的空间六自由度仿真模型 2. 自动驾驶仪仿真模型； 3.执行器仿真模型； 4.大气重力环境模型； 5.气动数据模型； 6.发动机推力模型； 另外，仿真过程中： 1.考虑了风场的影响 2.考虑了传感器的随机噪声； 3.考虑了执行器时间延迟； 4.采用变增益控制器； 状态方程选取：速度、攻角、侧滑角、机体系三轴角速度、欧拉角、地面坐标系坐标作为状态量； 输出方程有：12个状态量；12个状态微分值；以及机体系速度、加速度、过载等。 仿真程序见附件，需Matlab2007b及更高版本运行。 (err)

用于图像的质量评估，比较原始图像与受躁图像之间的结构相似度。 (For image quality assessment, by comparing the original image and the structural similarity between the images impatient.)

说明：  改进型的形态滤波器（广义形态滤波），的源代码，仅供参考(Improved morphological filter (generalized morphological filter), source code, for reference only )

代数方程组的解法，matlab，希望对大家有用(Solution of algebraic equations, matlab)

这里面包含压缩感知的SL0算法代码，有旧版本和新版本两个。(It contains SL0 compressed sensing algorithm code, have the old and new versions of two.)

澳门大学钱涛教授开发的自适应傅里叶变换软件系统，附有使用手册，源码齐全，可世界使用，能实现信号的自适应分解。(Macao university professor Qian Tao developed adaptive Fourier transform software system, with a manual, complete source code, can be used in the world, to achieve adaptive decomposition of the signal.)

说明：  实现电磁波在两端为PEC板时的一维FDTD程序(Realize the one dimension FDTD program when the electromagnetic wave is PEC board at both ends)

说明：  本程序是关于入度和出度的计算，对于学习图论的人可能有所帮助(This program is about in-degree and out-degree of calculation, for learning graph theory may be helpful)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)