485-shouce

这是中国数学建模中编程交流上概率算法内容，里面提供了很多概率算法的例子(This is the exchange of mathematical modeling in the programming content on a probability algorithm, which provides many examples of probabilistic algorithms)

Induction machine stator fault

MATLAB函数大全，想学习MATLAB同学这是一大福利哦(MATLAB function Daquan, the students want to learn MATLAB Oh, this is a big benefit)

基于matlab的高通滤波器设计，选用汉宁窗(the low-pass filter design based on Matlab with the window of hanning)

A filter is a system which modifies some special frequencies reletive to the others. As a result it is applicable in some applications when it is necessary to have different gains & phase shifts at different frequencies to perform specific filtering tasks. For example in an audio file which is corrupted by noise it is convinient to use a filter to cancel those frequencies which are affected by noise and consequently having a better sound quality. During this MATLAB experiment we are trying to cancel the noise frequencies out of the original signal frequencies to get the original signal. Due to do this task, different types of filters such as FIR and IIR filters are used. In FIR filters, we use two type of common windows such as fixed window like Hanning and adjustable window like Kaiser. In IIR filters four different types of filter such as Butterworth, Chebyshev I, Chebyshev II, Elliptic are used.

一个中科院博士生的关于粒子滤波的博士论文，对相关人员有重大参考价值(A Chinese Academy of Sciences doctoral dissertation on the particle filter, the relevant personnel have significant reference value)

说明：  lms 自适应算法的仿真源程序 基于最小均方算法的。(LMS filter in MATLAB based on a simple and very useful mehtod which is used to estimate gradient.)

由低通数字变换为高通（带阻）数字频带的变换示例,附频谱特性图(by low-pass digital transformation of the high-pass (with resistance) digital bandwidth transform example, the map attached spectrum)

matlab调用c程序经典实例,详细注释了接口函数和参数的意义功能，并以实例的形式完成matlab对c程序的调用(a classic example of matlab calling C source codes)

使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)