gpc1

说明：  粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 4(particle filter)

new algorithm for estimation in every field of science for matlab implementation mostly

说明：  simulink file to ampletude modulation and demodulation

these are the different matlab codewhich will help u to make different types of matlab codes thanks alot

各算法对应的问题如下： 　　PSO 用基本粒子群算法求解无约束优化问题 　　YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 　　LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 　　SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 　　RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 　　LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题 　　AsyLnCPSO 用学习因子异步变化的粒子群优化算法求解无约束优化问题 　　SecPSO 用二阶粒子群优化算法求解无约束优化问题 　　SecVibratPSO 用二阶振荡粒子群优化算法求解无约束优化问题 　　CLSPSO 用混沌粒子群优化算法求解无约束优化问题 　　SelPSO 用基于选择的粒子群优化算法求解无约束优化问 　　BreedPSO 用基于交叉遗传的粒子群优化算法求解无约束优化问 　　SimuAPSO 用基于模拟退火的粒子群优化算法求解无约束优化问题(13 PSO algorithms and coursewares)

在matlab下绘制三维柱状图，并且每根柱子用不同的颜色来显示成员的大小。在某种意义上，四维的显示(Under the three-dimensional drawing in matlab histogram, and each column with different colors to show the size of the members. In a sense, the four-dimensional display)

edge detection using dsr apllication

清华张旭东老师《离散随机信号处理》教材第5章。本章首先简要复习经典谱估计的基本结论，然后分别讨论基于线性系统模型和复正弦模型的功率谱估计方法。(Qinghua Zhang Xudong teacher " discrete stochastic signal processing" textbook Chapter 5. This chapter begins with a brief review of the classical spectral estimation basic conclusion, and then discuss the power spectrum estimation based on linear system models and complex sinusoidal model approach.)

用于提高多维时间序列处理效率的自底向上分段法(Used to improve the processing efficiency of multidimensional time series segmentation bottom-up method)

此程序实现二维随机信号的仿真图像，图形清晰(This process of implementation of two-dimensional random signal simulation images, graphics, clear)