qpsk-modulation

说明：  在MATLAB环境下读取TXT文件的程序集合(In the MATLAB environment to read TXT files collection)

该编程为矩阵与数据分析课的编程作业程序，里面包括matlab的三次样条曲线程序，有Jacobi迭代法和Gauss-Seidel迭代法等(The programming and data analysis for the matrix class programming operations program, which includes the cubic spline curve matlab procedures, Jacobi and Gauss-Seidel iterative method iterative method)

共有5个程序，分别是从文件提取散点画球（椭球），散点画压力云图，散点画散点位置及速度分布图，散点画密度分布图，以及从数据文件中提取特定散点的程序，这是一套程序，可对大量散点数据进行处理。(There are five programs, which are extracted from the file powder stippling ball (ellipsoid), scattered cloud pressure stipple, stipple scatter scattered distribution of position and velocity, bulk density stipple maps and data files extracted from the scatter-specific procedures This is a process, a large number of discrete data can be processed.)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

求生物信号的滤波和归一化程序，是低频信号的在bp中应用的一部分。(Seeking biological signal filtering and normalization procedures, low-frequency signals in the bp part of the application.)

衰落信道数值的生成，用于模式识别，具有一定的参考价值(Fading channel to generate value for pattern recognition, with some reference value)

在doa估计中最小均方误差的算子，在自适应滤波中有相关的应用(Doa estimation minimum mean square error of the operator, adaptive filtering application)

基于bdpca重构的matlab程序，附带图片，适合于表情识别初学者研究学习。(a matlab code of bdpca reconstruction with some expression pictures which is really useful for expression recognition researchers.)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

应用Matlab语言的微分方程仿真实验程序(Application of differential equations Matlab language simulation procedures)