CICFILTERPROCESS

good matlab tutorial...best one

说明：  实现了SVPWM,已经通过测试,是初学者一个很好的例子(Achieved SVPWM, has passed the test, is a good example for beginners)

tuning pid controller "matlab"

pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。(pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.)

This ppt contains information about the event management system system. The scope of the project and objectives of the project is also mentioned in this ppt.

毕设的题目，LTE移动通信的无线传播信道模型，通过MATLAB仿真了包括多径信道，考虑了多普勒频移以及瑞利信道，考虑了 CBgMeC参数以及 QYIzukV衰落的多参数信道模型，调试正常。? (Complete set of topics, mobile wireless channel modeling, simulation by MATLAB, including multipath channel, taking into account the Doppler shift and Rayleigh channel, considering the CBgMeC parameter and multi-parameter QYIzukV fading channel model, debugging normal. )

simulink环境下的双极性PWM控制的单向电压型整流器的模型(simulink environment bipolar PWM control unidirectional voltage source rectifier model)

SEMINAR FILE FROM IEEE TRANSATION IN COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

通过对各种窗函数的matlab仿真，比较各种窗函数的频谱特性，并且将不同的窗函数加权到脉压信号上，观察特性的优劣(Based on all kinds of window function of matlab simulation, compare all kinds of window function, the characteristic of the frequency spectrum of and different window function weighting to the pulse pressure signal, the merits of the observed features)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)