gpops1-1beta

matlab 代码为图像的分割，执行效果可以看程序的执行(matlab code for image segmentation, the performance of the implementation of the procedures can be seen)

关于粒子群算法的相关论文，共有文章17篇，可供有兴趣的朋友研究讨论(Particle Swarm Optimization on the relevant papers, a total of article 17, interested friends for study and discussion)

编写了一种代数重建算法的投影系数计算程序，可用于物体的三维恢复计算。(The projection coefficient of the algebraic reconstruction technique was developed.)

用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形(With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics)

说明：  压缩感知Basis Pursuit基追踪算法，稀疏度和正确率的关系以及采样率和正确率的关系(Basis Pursuit based on compressed sensing and tracking relationships between sampling rate and accuracy of the algorithm, and the correct rate of sparsity)

Design a linear phase minimum order FIR Band Stop filter to stop the frequency band 0.45π to 0.55π with atleast 60dB attenuation at the edges. Further -3dB frequencies are required to be at 0.3π and 0.7π. 1. Plot the frequency response of the psuedo magnitude function using (a)rectangular window, (b)Hann window and (c) Hamming window. 2. Plot the frequency response for Rectangular and Hamming window for a length of 1024 to demonstrate the fact that the increase in the length, doesn t reduce undershoot and overshoot in Rectangular window.

对信号的奇异性检测.检测第一类间断点matlab中的一个一维信号（freqbrk.dat）含有突变点，对其进行检测(Singularity detection of signal detection of the first class discontinuity points matlab in a one-dimensional signal (freqbrk.dat) containing the mutation point, its detection)

三步梯形相移图案的matlab生成程序，使用的是灰度图像。(Three-step phase shift pattern matlab trapezoid generation program, using a gray-scale image.)

模式识别中的最近邻算法用matlab实现，简单易懂，并做了实验，用图像表示聚类结果。(The nearest neighbor algorithm for pattern recognition with matlab implementation, simple to understand, and do the experiment, with images that clustering results.)

时间序列建模AR（1）后的卡尔曼滤波程序，整个过程非常详细，里面自带一组数据。(Time series modeling AR (1) after the Kalman filtering process, the entire process is very detailed, which comes with a set of data.)