各种干扰信号interfering-signals

基本粒子群算法，很好用，方便理解，非常简单，有文字说明，有注释(panicle swarm optimization)

with or without modification, are permitted provided that the following conditions are met

英文版本的关于反馈fxlms算法在主动降噪中的使用，很不错的一个pdf(Feedback fxlms English version of the algorithm on the use of active noise reduction, very good one pdf)

rake接收的matlab代码，不是simulink(rake receiver of the matlab code, not the simulink)

使用DWT实现图像融合，以得到更适合计算机处理、人类识别的图像(DWT to achieve image fusion, is more suitable for computer processing, human identification image)

matlab中的光学工具，实现光学仿真实例源代码（第二部分）(matlab opyical tool)

级联H桥三相七电平matlab仿真模型，分享供大家使用(Cascade H-bridge three-phase seven-level Matlab simulation model to share for everyone to use)

一个很好的卡尔曼滤波程序呵呵，跟大家一起共享吧呵呵(A good procedure of Kalman filtering Oh, everybody work together to share with you huh)

卡尔曼滤波在仿真中的应用，低于跟踪目标有很大的作用(NNAD applied to multi-target tracking, a great help for filtering, and fusion technology)

已知自变量t，因变量y，y和t满足一下函数式： dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理） 已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)