dtw2

非线性方程组数值计算，MATLAB语言实现。包括多种迭代方法，牛顿法，拟牛顿法，以及相关的改进算法。(Numerical calculation implementation)

matlab中的svm工具包，是标准化的svm算法，只能用于线性问题，非线性的需用libsvm或lssvm来解决。(svm in matlab Kit, standardized svm algorithm can only be used for linear problems, nonlinear the required libsvm or lssvm of resolve.)

power_svpwm.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

In this document we proposed a face recognition algorithm that enhance the recognition rate and reduce the complexity.

关于噪声抵消的一种滤波器,应用广泛,比如,可以用在去除胎儿中的母体干扰.(adaptive noise canceling applied to fetal electrocardiography)

电力系统负荷分配问题，是一个3机6节点的工况模型，基于matlab的编程。(Power system load distribution)

This is a Mat Lab code for predicting the hysteresis behaviour of any structural system using Bouc Wen Baber Noori (BWBN) model.

说明：  ce code est écrit en matlab

基于MATLAB与西门子PLC的测控应用系统的程序代码(Based on MATLAB and Siemens PLC control application program code)

The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. (The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. )