mimo-stimulate

％绘制系统函数的零极点图 ％ ％pzplot(num,den) ％num为系统函数分子多项式的系数向量 ％den为系统函数分母多项式的系数向量 ％( Mapping system function pole zero diagram pzplot (num, den) num molecular function for the system polynomial coefficient vector den for the system function denominator polynomial coefficient vector)

说明：  对图像进行三角剖分，对三角点云数据进行处理。以便更好的显示图像、。(The image triangulation, triangular point cloud data processing. In order to better display image.)

三相PWM的svpwm控制SIMULINK程序图(The three-phase PWM control SIMULINK program chart svpwm)

有一个讲解kpca的个PPT，和一个用MATLAB实现的kpca的程序(There is a PPT explaining KPCA and a KPCA program implemented by MATLAB.)

本文给出了matlab的全套指令 很有用的 可以查阅指令的用法(In this paper, matlab a complete set of instructions can be found very useful command usage)

Matlab编写的相位展开(相位解缠)，程序实现两种相位展开(相位解缠)的算法，一个是质量图导引路径积分相位展开算法，另一个是Goldstein的枝切法。(2D PHASE UNWRAPPING ALGORITHMS for the phase quality guided phase unwrapping method and Goldstein s branch cut phase unwrapping method)

液位和高度的控制，具有很小的误差，操作简单(Level and degree of control, with little error, simple operation)

kalman code matlab Algorithm Free

USRP中关于抽取和内插的模块搭建，和信号处理 GRC(up and down sample on USRP)

第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280(Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280)