smart-antenna-simulation

传感器系统的偏差估计方法，包括批处理最小二乘和递推最小二乘的实现代码。(The code realize the deviation estimation methods of the sensor system, including batch least squares and recursive least squares implementation.)

Haar wavlet transform 4 gray level pictures

计算电磁学 二维PML程序 采用MATLAB编写(PML-dimensional computational electromagnetics programs written using MATLAB)

本例程模拟的是额定电压为10kV的单相输电系统. 其主要参数如下：线路首端电压的仿真模块VS电压为14.847kV；电压源等效内阻Rs_eq为 ；相位：0；频率：50Hz；输电线路用 型等效线路替代，线路长度 ；用户端为恒定负荷1000kvar(The main parameters of this paper are as follows: The VS voltage is 14.847kV the equivalent internal resistance Rs_eq of the voltage source is Phase: 0 Frequency: 50Hz Transmission Line-type equivalent line replacement, line length client-side constant load 1000kvar)

原始snake matlab 源碼，簡單版( seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for rad (optional) Localization Radius (in pixels) smaller = more local, bigger = more global alpha (optional) Weight of smoothing term higer = smoother method (optional) selects localized energy 1 = Chan-Vese Energy 2 = Yezzi Energy (usually works better))

固定时延系统一致性的MATLAB仿真例子，都可运行(time delay system)

MoM programme for designing patch antenna

有关MATLAB编程的粒子群群算法，有几个算例可直接使用。 (About MATLAB programming particle swarm swarm optimization, there are a few examples can be used directly.)

求电力系统状态估计ieee9节点 的雅阁比矩阵(Seeking power system state estimation Accord than ieee9 node matrix)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)