Turboequlization_algorithm

FIT FILTER DESIGN in Matlab - Bandstop Filter(FIT FILTER DESIGN in Matlab- Bandstop Filter)

This folder has two files for the simulation of dc motor braking. please run the *.m file to run the *.mdl file(This folder has two files for the simulation of dc motor braking. please run the*.m file to run the*.mdl file)

WCDMA的simulation实现，很有用。(WCDMA realize the simulation, very useful.)

一维分形维数的计算，计盒数，看着好才发上来的(One-dimensional calculation of the fractal dimension, box-counting the number was made up to look good)

ecualizador y grafica de audio (GUI)

matlab实现的语音识别程序 源代码和语音样本都有(matlab code for speech recognition implementation have voice samples, as well as txt version of the code)

说明：  所建立的无刷直流电动机系统的Simulink仿真模型图，功能模块包括：逆变器模块、电源模块、换相逻辑模块、PWM信号产生模块、电动机本体模块、转速测量模块和磁极位置测量模块。(Established by the brushless DC motor system in Simulink simulation model diagram, function modules include: inverter module, power modules, logic modules for phase, PWM signal generation module, motor ontology modules, speed measurement modules, and pole position measurement module.)

采用FSK调制方式，用于仿真高斯噪声、单音干扰等多种干扰环境下跳频系统性能及误码率(FSK modulation, frequency hopping system performance and bit error rate for the simulation of Gaussian noise, single tone jamming and other interference environment)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

说明：  100kV光伏并网平均模型 MPPT使用扰动观察法(Average Model of 100 kV Photovoltaic Grid Connection MPPT uses perturbation observation method)