LMSEQUAL

交互式方针工具,研究用于线性盲信道均衡的CMA算法,Matlab程序(The BERGulator is a MATLAB5-based interactive simulation tool aimed at studying the behavior of the Constant Modulus Algorithm (CMA) when used for direct blind linear channel equalization. )

风力发电机和光伏电池接入配网后的影响 风力发电机和光伏电池接入配网后的影响 (The wind generator and photovoltaic cells, the influence of the distribution network access after )

粒子群算法 粒子群算法 粒子群算法 粒子群算法(Partical Swarm Optimization PSO matlab Partical Swarm Optimization Partical Swarm Optimization Partical Swarm Optimization Partical Swarm Optimization Partical Swarm OptimizationPartical Swarm Optimization)

利用matlab进行图形的二维傅里叶变换(Using matlab graphical two-dimensional Fourier transform)

自适应遗传算法，遗传算法的改进，其中有详细的注释，根据需要改初始条件(Adaptive genetic algorithm Improved genetic algorithm, which has detailed notes, according to the need to change the initial conditions )

图与网络论中求最短路径的Dijkstra算法(Graph and network theory for the Dijkstra shortest path algorithm)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

适合初学小波变换的同学，小程序演示了怎样显示小波各级各频段(show the frequency of wavelet)

this is simulink model of boost converter basic principal of operation

使用蚁群算法进行TSP问题的求解，画出了初始城市分布，蚁群算法求得的路线图。(Using the Ant Colony Algorithm to solve the problem of Traveling Salesman Path.The initial distribution of the cities is presented.And the path for the salesman can be seen clearly from the figure.)