FOChS

车辆动力学仿真软件veDYNA的用户指南(VeDYNA vehicle dynamics simulation software user s guide)

说明：  针对传统Butterworth低通滤波器存在检测精度、稳定性和响应时间之间的矛盾问题,提出了一种新型高阶 Butterworth低通滤波器 (Butterworth low-pass filter for the existence of traditional detection accuracy, stability, and contradictions between the response time, a new high order Butterworth low-pass filter)

该程序用于精度分析，具有极强的实用性，可广泛应用于多种场合。(The program used for precision analysis, is extremely practical and can be widely used in many applications.)

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.

介绍关于IEEE34-with-wind及其仿真模型(About IEEE34-with-wind and its simulation model)

扩展卡尔曼滤波（EKF）仿真演示，以一个空中水平抛射出物体为例子，采用EKF对其进行目标跟踪。(Extended Kalman filter (EKF) simulation demo, to a level of air projectile objects as an example, EKF target tracking.)

PC parallel LPT port pinout

说明：  时域有限差分法，matlab实现。对声学，电磁波，天线学科有很大帮助。(Finite difference time domain method, MATLAB implementation. It is of great help to acoustics, electromagnetic wave and antenna.)

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)

一篇matlab代码优化的文章，对写matlab代码具有很好参考意义！(A matlab code optimization of the article, write matlab code of good reference value!)