CurveMeasure_MATLAB

PHILIPS LPC76X Comparator

说明：  模拟地球转动的程序 matlab 代码 程序 直接可用(Simulation of the Earth s rotation procedure matlab code can be used directly)

Learn Kalman Filter( Kalman Filter)

通过反复训练模板能有较高的识别率，进行逐步线性回归，重要参数的提取，搭建OFDM通信系统的框架，线性调频脉冲压缩的Matlab程序。( Through repeated training nFKkhVKlate have higher recognition rate, Stepwise linear regression, Extract important parameters, Build a framework OFDM communication system, LFM pulse compression of the Matlab program.)

用Remez算法设计一个低通滤波器,分别满足性能参数: 滤波器1 滤波器2 滤波器3 采样率Fs: 20kHz 20kHz 20kHz 通带: 0-3 0-4kHz 0-5kHz 带内波纹: 0.1dB 0.1dB 0.1dB 带内衰减: 60dB 60dB 60dB (With the Remez algorithm to design a low pass filter, respectively, to meet the performance parameters: filter 1 filter 2 filter 3 of the sampling rate Fs: 20kHz 20kHz 20kHz pass band: 0-3 0-4kHz 0-5kHz in-band ripple : 0.1dB 0.1dB 0.1dB in-band attenuation: 60dB 60dB 60dB)

This program calculates minimum and inner constraint and plots the ellipsoid error.This is a useful code for solving geodetic networks.

eige value problems in math

飞机飞行仿真中，对四个主要控制量，包括油门、升降舵、副翼及方向舵控制，分别提供持续2秒的随机大小的阶跃控制输入，四个控制量互相独立。可以用于飞行动力学系统辨识、参数识别等。(Flight simulation, the four main control volume, including throttle, elevator, aileron and rudder control, to provide for 2 seconds, respectively, a random step size control inputs, four control variables independent of each other. Can be used in flight dynamics system identification, parameter identification.)

该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。(The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution.)

说明：  基于想要的主成分数量和精确度，采用matlab的pca函数进行主成分分析(Based on the desired principal component and accuracy, PCA function of MATLAB is used for principal component analysis)