Color_dirct_Diff

tf-idf用于文档聚类，权重计算，用MATLAB实现的，自己编写非常好用！(tf-idf for Document Clustering, weight calculation, use MATLAB to achieve, I have written is very easy to use!)

深空通信SUMPLE算法仿真，收敛性，合成增益等(SUMPLE algorithm for deep space communicaion)

说明：  关于脉冲压缩的问题 。脉冲压缩的质量直接 影响雷达的探测性能。经典的脉冲压缩是通过匹 配滤波器来实现的[1 ] 。从本质上讲 ,脉冲压缩是对 发射信号的匹配滤波 ,但由于不同的目标回波信 号带有不同的多普勒信息 ,具有不确定性 ,所以它 只能是准匹配滤波(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance. Classical matched filter pulse compression is achieved by [1]. In essence, the pulse compression is a matched filtering the transmitted signal, but the different echo signals with different Doppler information is uncertain, it can only be quasi-matched filter)

1、根据干扰总功率要求，在PSK调制信号带宽内产生单音干扰和多音干扰信号，并叠加到产生的信号源上。 2、将收到干扰的信号进行频率搬移到基带，然后通过匹配滤波器以及解调过程得到信息，统计误码率并与真实信息的解调误码率进行对比，评估音频干扰对PSK信号的干扰效果。 (1, according to the total power requirement of interference generated tone signal interference and multi-tone interference in the PSK modulated signal bandwidth, and superimposed on the signal generated by the source. 2, the received interference signal to a baseband frequency shift, and the information obtained by the matched filter and a demodulation process, statistical error rate BER and the true information demodulation comparison, evaluation of the PSK signal, audio interference interference effects.)

利用matlab实现基于DCT变换的变焦距图像融合(Using matlab to achieve DCT-based image fusion Zoom)

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)

说明：  标准的粒子群优化算法程序，用Matlab编程。(Particle swarm algorithm (matlab))

matlabINS toolbox 3.0

try this for pq improvmnett

使用MATLAB的GUI接口设计一个简单的计算器，实现两个数的基本运算。(Use the GUI interface of MATLAB to design a simple calculator,realizing basic operations of two numbers.)