CPA

本人编写的基于最小二乘法的圆拟合程序，可直接下载使用。(I prepared the least squares method based on circle fitting procedures, can be directly download.)

国外最近的一篇变步长nlms仿真，该文件有文中的几种仿真，包括基本的仿真，信道突变下的追踪性能和语音回声消除的性能分析(Recent foreign nlms a variable step simulation, the file has the text of several simulations, including basic simulation, channel tracking performance under mutation and voice echo cancellation performance analysis)

关于超声波倒车雷达测距的，最大信噪比的独立分量分析算法，小波包分析提取振动信号中的特征频率。( About ultrasonic parking radar ranging, SNR largest independent component analysis algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency.)

已知日期，计算出星期几的程序.以过测试。计算正确。请放心使用。(Caculate Weekday)

实现了测井数据的fft变化分析，可以用于查看测井数据的频谱特征(Realize the logging of data changes fft analysis, can be used to view the logging data of spectrum characteristics of)

说明：  LM算法的c语言实现 拟合的函数为gauss函数(Levenberg-Marquardt Method)

用R做贝叶斯估计，估计随机微分方程中的参数(Bayesian estimation made by R, the parameter estimates stochastic differential equation)

C++实现的数值分析算法包括： 二分法.cpp 复化辛卜生公式.cpp 改进欧拉法.cpp 高斯-赛德尔迭代法.cpp 拉格郎日插值多项式.c(C achieve the numerical analysis algorithms include : dichotomy. cpp Minute of Oracle Health formula. cpp Improved Euler method. cpp Gauss- Seidel iterative method. cpp Lagrange polynomial interpolation. c)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)

//最小二乘法直线拟合 m_FoldList为关键点(x,y)的链表 拟合直线方程(Y=kX+b) (//linear least squares fitting m_FoldList as the key point (x, y) of Chain fitting linear equation (Y = C/56 b))