fractal-dimzip

用Matlab仿真turbocode的算法，即编码结构(using Matlab turbocode algorithm, namely coding structure)

用matlab编程进行计算lyapunov指数的程序源码 (using Matlab programming lyapunov index calculation procedures FOSS)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

说明：  matlab分支定界法，包含直接运行的matlab文件(matlab branch and bound method, with direct operation of the matlab files)

关于matlab软件用法的介绍，及教程 （线性系统方面的应用）( Soft Introduction to Matlab Demonstration of Numerical Computations Create vectors, sample sinusoids and Chirp Signals Generate and plot Continuous-time and Discrete-time signals )

说明：  对倾转旋翼机的仿真，三个状态分别为悬停，过渡，和前飞(simulation fly hover transition and forward)

利用随机共振原理检测弱信号。a_b_f.m为主程序(Use of the principle of stochastic resonance detection of weak signal. a_b_f.m-based procedures)

一个关于动力学知问题的程序,用来求解其方程(Here we present some MATLAB programs which solve the second problem of Dynamics )

说明：  将粒子群算法与免疫结合，计算函数的优化极值。(The particle swarm optimization combined with the immune calculated extremal function optimization.)

How to compute synthetic seismograms with the program system G E M I N I