gei-fh84

说明：  最优化方法: 共轭方向法 matlab源代码 需要改变原函数及其梯度(Optimization: Conjugate Method need to change the original function and its gradient)

This program implements a clean version of Particle Swarm Optimization

上传代码都是MATLAB关于music算法的内容，其中包括针对阵列幅相误差进行线阵校正的经典NSF方法，music-capon最小方差法，music算法估计声源方位谱。(Upload code are MATLAB algorithm on music content, including amplitude and phase errors for the array line array calibration method NSF classical, music-capon minimum variance method, music algorithm to estimate sound source spectrum.)

用MATLAB对单载波频域均衡进行仿真，并绘制出误码率仿真的结果。(Using MATLAB on a single carrier frequency domain equalization simulation, and to map out the bit error rate simulation results.)

semivariogram structure function ,it is about 2D semivariogram.

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

load YUV file to matlab

考察了在不同信噪比情况下，信息论准则和盖氏圆准则估计信号源数目的正确率(The correct rate of the SNR, the information criterion and Gerschgorin criterion estimated the number of source)

这是在matlab的基础上开发出的pid控制器源代码(It is developed on the basis of matlab pid controller source code)

Viterbi (MLSE) algorithm for signal detection in ISI channel by Matlab Code