Root-MUSIC

LES和RLS的区别，自适应滤波器方面的(The difference between LES and RLS adaptive filter' s)

应用传递矩阵法求解转子动力学特性，转子临界转速和振型等动力学特性被获得。(The transfer matrix method is studied on rotor dynamics, and the critical speed is obtained)

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

能够自动得到所提取的样本的R,G,B,H,S,V值和样本编号，在样本提取阶段使用很方便(matlab sample)

EEMD AND EMD故障诊断新的方法，有效提取故障信号(EEMD AND EMD)

用MATLAB实现动态聚类或迭代自组织数据分析，线性调频脉冲压缩的Matlab程序,进行波形数据分析,课程设计时编写的matlab程序代码，数值分析的EULER法，LDPC码的完整的编译码，用于特征降维，特征融合，相关分析等,采用加权网络中节点强度和权重都是幂率分布的模型。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, LFM pulse compression of the Matlab program, Waveform data analysis, Course designed to prepare the matlab program code, EULER numerical analysis method, Complete codec LDPC code, For feature reduction, feature fusion, correlation analysis, Using weighted model nodes in the network strength and weight are power law distribution.)

basic engineering (electrical and electronics) ppt

利用matlab，编写程序，设计了卡尔曼滤波算法，对惯性器件的初始校准进行仿真(Matlab, programming, design of the Kalman filter algorithm, the initial calibration of the inertial sensors simulation)

说明：  推荐系统 数据挖掘 数据分析 机器学习 代码(re_sys data mining analysis ml code)

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》3 二值图像中的基本形态学运算,灰度图像中的基本形态学运算("Digital image processing and machine vision: Visual C++ and Matlab to achieve" 3 Binary image of the basic morphological operations, gray image of basic morphological operations)