matlabhuitu

matlab随机函数的使用及比较，并选择了一些应用实例(matlab random function of the use and comparison, and selection of some application examples)

文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性，用最大似然估计方法对转换后得到的稀疏 分量进行非线性压缩去噪，然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本 身的统计特性，因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢，与小波消噪法相比优势明显。(a speech enhancement algorithm based Compressed Sensing.)

说明：  电机转子位置观测，采用卡尔曼滤波算法，计算出转子位置信息，矢量控制(Motor rotor position observation, using Kalman filter algorithm to calculate rotor position information, vector control)

分布式星载干涉GMTI雷达系统仿真 performance analysis of a space-based GMTI radar system using separated spacecraft interferometry(Distributed Spaceborne Interferometric GMTI radar system simulation performance analysis of a space-based GMTI radar system using separated spacecraft interferometry)

Code for calculating 3D Potential fiel for robot path plannning it needs som correction to become work correctly

说明：  svm 的matlab程序,是最基本的svm形式(the sourse of svm,it is the basic styple)

LLE是一种新的算法，既有非线性的特点，又有线性的优点(LLE is a new algorithm, both non-linear characteristics, but also the linear advantages)

用C编写的地震资料楔形体模型，可以变换参数，简单通用(Written using C seismic data wedge model, may come and go parameters, simple and universal)

implementing histogram equalization for image enhancement

Spectrum Sensing Demonstration