matlabchengxu

svpwm file with control unit file can be executed in matlab for space vectir pwm

汽车回正性能的分析，汽车电动助力转向的控制算法和matlab实现(analysis of vehicle returnability control strategy of vehicle electric power assisted steering with matlab/simulink)

二维离散小波变换(Mallat快速算法)对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). 数据：灰度图像lena.bmp或其它图像, 滤波器系数可以调用matlab中的wfilters函数获得, wfilters函数的使用请在matlab中help wfilters.(Two-dimensional discrete wavelet transform (Mallat fast algorithm) two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), the number of re statistical coefficient 0 ( reconstruct the final calculation of the peak signal-to-noise ratio (PSNR) of the reconstructed image data: the grayscale image lena.bmp or other images, the filter coefficients can call matlab in wfilters function to obtain, wfilters function, expressed as a percentage) in matlab help wfilters.)

MATLAB程序设计教程的源码，对初学者很有帮助，欢迎下载(MATLAB programming tutorial source code, useful for beginners are welcome to download)

说明：  最近在研究脑电信号的处理 同事自己也收集了一些资料希望和大家分享(Recent studies dealing with EEG colleagues collected themselves would like to share some information)

有关OFDM系统信道估计的源代码 希望有用(OFDM code)

二轮小车的迭代学习 matlab 程序(iterative learning control of a two-wheel car)

用凯瑟窗设计一个数字带通滤波器，设计指标为 低阻带：ws1=0.2pi,as=70dB, 低通带：wp1=0.35pi,ap=1dB, 高通带：wp2=0.65pi,ap=1dB, 高阻带：ws2=0.8pi,as=60dB( Kaiser window design with a digital band-pass filter design specifications for the Low resistivity zone: ws1 = 0.2pi, as = 70dB, Low-pass band: wp1 = 0.35pi, ap = 1dB, High-pass band: wp2 = 0.65pi, ap = 1dB, Impedance with: ws2 = 0.8pi, as = 60dB )

教材simulation and software radio for mobile communications中所讲的实例程序源码(Materials simulation and software radio for mobile communications in the program source code examples about)

人口灰色预测模型可以在数学建模中应用，预测人口数量的变化，灰常灰常灰常有用。(gm grey prediction may not be perfect but it s useful u know. used in mathmatical test for population prediction. very very useful)