Imp

This package presents C++ tools to the trace transform of a 2D image, and related objects, i.e. circuses and triple features, matlab tools to visualise these entities, and tools to check newly coded functionals. This version is released with a small number of functionals only.

matlab 编写的微分进化算法，供大家学习参考(matlab write differential evolutionary algorithm for everyone to learn information)

基于FFT的功率谱分析程序设计与应用 2）对实验所采集的转子振动信号进行频谱分析 2．讨论： 1) 信号经过均值化处理或不经过均值化处理的结果比较 2）采用不同窗函数时的谱结果（矩形窗函数, 汉宁窗函数，汉明窗） 3）典型函数的频谱（矩形窗函数, 汉宁窗函数，直线，阶跃函数，δ函数，方波，三角波等） 4）整周期和非整周期采样时两者的比较 5）讨论实验结果 (Based on the FFT power spectrum analysis of program design and Application2) on experimental collection of the rotor vibration signal spectrum analysis2 discussion:1) the signal through the mean treatment or not after a mean treatment results comparison2) using different window function spectral results ( rectangle window, Hanning window function, the Hamming window )3) the typical functions of spectrum ( rectangle window, Hanning window function, linear, step function, function, square wave, triangular wave)4) the whole cycle and non-integer-period sampling time comparison5) discussion of experimental results)

主要是QAM与16PSK频谱仿真、误码率比较仿真以及各自的星座图(Mainly QAM spectrum with 16PSK simulation, emulation, and error rate between the respective constellation)

实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)

实现图像灰度及黑白度转换,主要在matlab 环境下使用，具有很好的实用意义。(Gray and black and white image conversion degrees, mainly in the matlab environment, with good practical significance.)

利用总体最小二乘法谐波检测，检测结果快速准确(Harmonic detection using the total least square method and the test results are fast and accurate)

用于MATLAB作图中，多张图的合并（里面的文件路径需要根据需要更改）(For the MATLAB plot, the multiple number of pictures merger (inside the file path needs to be changed as needed))

线性调频信号的脉冲压缩处理及图像的分析，非常简介的程序(Linear FM pulse compression signal processing and image analysis, the procedure is very Profile)

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)