mat01

用于数据分析（回归分析）的matlab源代码（赋使用说明）(Used for data analysis (regression analysis) of matlab source code (enabling the use of instructions))

这是一个时间序列的高通滤波matlab函数！(This is a time series of high-pass filter function matlab!)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

此函数用于IS-95前向链路系统的仿真，包括扩 频调制，匹配滤波，RAKE接收等相关通信模块。 ( This function is used to forward link IS-95 system simulation, including the expansion of frequency modulation, matched filter, RAKE receiver, and other related communication module.)

利用Harris角点检测算法很好的程序，通过互相关算法检测角NCC配准(Good program using Harris corner detection algorithm, detect corner through cross-correlation method for NCC registration)

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数学建模中画散点图，伪彩色图，等高线图，三维曲面图；数据可以从excel中直接导入(Mathematical modeling of scatter diagram, pseudo color map, contour map, 3-D surface chart data the excel directly.)

高斯脉冲及高斯一阶导、高斯二阶导产生时域图(Gaussian pulse and a Gaussian derivative, Gaussian, when the second derivative domain plan)

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标准的MOPSO文件，遗憾是无约束条件，，，，(Standard MOPSO files, unfortunately unconstrained conditions)