Precision-analysis-of-GPS_BDS-

信噪比MATLAB程序，可以分析信号的干净程度， 适合信号处理的初学者。(SNR MATLAB program that can analyze the cleanness of the signal, signal processing for beginners.)

线性调频信号的正交解调及脉冲压缩处理技术在matlab中的实现(The chirp signal quadrature demodulation and pulse compression processing technology implemented in matlab)

simulink file for matrix converter

说明：  This code is related to the course Digital Communications. It easily reproduces the error probability as a function of the SNR per bit for QPSK and 16-QAM systems using MATLAB

根据对真空蒸发镀膜的分析，在40×40的范围内分别蒸 发：1000、5000、10000、20000、30000个粒子。  利用2维数组记录每个点的粒子数。  初始粒的横纵坐标为0～40的均匀分布。  能量为（15，3）的正态分布。  在基体表面自由行走时损失1的能量。  若该点有粒子，即与其他粒子相遇时损失3的能量。  由低处向高处扩散，每扩散一层，损失4的能量，由高处 向低处扩散，损失3的能量。  当粒子的能量小于等于0时停留下来，该点的粒子数加1。  临界核的尺寸为10个粒子。  根据每个点粒子个数的不同，以不同的灰度显示这些点。 点越亮，则表示该点的膜越厚。  以图形方式显示粒子初始能量的正态分布情况(Based on the analysis of the vacuum evaporation coating, respectively, in the range of from 4040 evaporated: 1000,5000,10000,20000,30000 particles.  each point using 2-dimensional array to record the number of particles. The  initial grains transverse and longitudinal coordinates of a uniform distribution of 0 to 40. The  energy as a normal distribution (15,3).  1 energy losses in the substrate surface to walk.  point particles that 3 energy loss in the encounter with the other particles.  by the lower diffusion tops every diffusion layer, a loss of 4 energy diffusion from high to low, the energy loss of 3.  When the energy of the particles is less than or equal to 0:00 stay down, add 1 to the number of particles that point.  critical nucleus size of 10 particles.  these points, depending on the number of particles of each point is displayed in a different shade. Point, the brighter, the thicker the point of the fi)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

电力系统行业配网37节点feeder34，用于配电网规划(Feeder34 power systems industry with a network of 37 nodes for distribution network planning)

波束形成过程中，滤波器权值固定不变。一旦阵列的几何形状、目标方向确定，其波束模式特性也将确定(In the beamforming process, the filter weights are fixed. Once the array geometry and target direction are determined, the beam pattern characteristics will also be determined.)

基于MATLAB环境下的非线性方程组的求解方法对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment method for solving nonlinear equations corresponding code is easy to learn for beginners to use digest)

共形极化阵列的波束形成。考虑了信号的极化参数，在极化域和空域联合抑制干扰。(A beamforming of a conformal polarization array. Considering the polarization parameters of the signal, the interference is suppressed jointly in the polarimetric domain and the airspace.)