point_cloud_reduction

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)

求s=a+aa+aaa+aaaa+aa...a的值，求最大公约数和最小公倍数(Seeking s = a+aa+aaa+aaaa+aa ... a value, find the greatest common divisor and least common multiple)

一个LED大屏幕接收卡的完整设计工程,有需要学习LED大屏幕控制的朋友可以参考

利用matlab画完整版中国地图包括台湾和南海海上边界线，中国地区高度分布图(height distribution map in China)

NASA开源的匹配追踪分解算法，用于信号分解以及特征提取。(Matching Pursuit Decomposition is a powerful and effective iterative algorithm for signal decomposition and feature extraction. Matching Pursuit Decomposition decomposes any signal into linear combinations of its dictionary elements or atoms.)

本工程实现了二维空间点的关于任意点的对称与关于任意直线的对称。(This project realizes the symmetry of arbitrary point and the symmetry of arbitrary line in two-dimensional space.)

求解L-1范数最小,利用线性规划算法，实现压缩感知的功能(min L-1 norm)

Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)

个人写的2dpca算法，希望对大家有用。如有问题，希望联系fnger@163.com(Personal written 2dpca algorithm, useful for all of us hope. If you have any questions, wish to contact fnger@163.com)