compareofparticlefilters

小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近(CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation)

Levinson-Durbin algorithm m file

matlab 解决声波信号的时域及频域的处理(Matlab basic waveform of the sound processing, including time domain, frequency domain analysis ...........................)

apsk软判决算法的仿真，根据星座特点进行算法的简化，减低复杂度(Simulation apsk soft decision algorithm based on the characteristics of the constellation simplified algorithm to reduce the complexity of)

step pid with avr mikrokontroller

说明：  hyper chaotic transformation

这是一自适应噪声消除的matlab程序 算法使用的是NLMS 里面含有截取的噪声 有仿真图(This is an adaptive noise cancellation matlab program NLMS algorithm is used which contains a simulation of the interception of the noise figure)

channel fading on cellular communication

说明：  （蒙特卡洛方法） 求出四分之一圆占正方形的比例。随机投点P(x,y)于正方形，π/4的近似值为落在四分之一圆内的点数与总投点数的比值。随机投点次数分别为10000次和50000次，计算π的近似值。 ((Monte Carlo method) are obtained accounting for a quarter of a round square ratio. Voted random point P (x, y) in the square, π/4 for the fall quarter of the approximation of the points won and the ratio of the total vote points. The number of random points, respectively, voted for the 10000 and 50000 times, the calculation of the approximation of π.)

This is a Particle Swarm Optimisation technique.