ASSGN3

利用pcnn脉冲耦合神经网络进行图象滤波,利用pcnn定位图象噪声,根据定位情况进行滤波,输出(Using pulse coupled neural network PCNN for image filtering, image noise using PCNN positioning, according to location to conduct filtering, output)

卡尔曼滤波器的Simulink仿真，完全可以实用！(Kalman filter Simulink simulation, can be useful!)

说明：  用于计算幂率分布幂指数程序，在给定的一组分布中，判断该分布是否服从幂率分布(Used to calculate the power law distribution of power index procedure)

robust control in power system

simulink建立的卡尔曼滤波算法，运行没问题！(simulink_kalman and matlab)

matlab语言编写的克隆免疫算法求解函数最小值(Cloning matlab language function immune algorithm minimum)

基于小波变换的基本原理，进行数字的信号处理(wavelet transform )

说明：  实现OFDM多种信道条件下的LS时域频域信道估计方法仿真(Simulation of LS time domain and frequency domain channel estimation method for OFDM with multiple channels)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)

本程序仿真了均匀线阵的泰勒方向图加权的函数。可以直接在Matlab中调用本函数。(taylor tapering of uniform linear array.)