Tsai-Mat

基于MATLAB环境下的运用直接法求解线性方程组的对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment using a direct method for solving linear equations corresponding code is easy to learn for beginners to use digest)

用牛顿-拉夫逊算法求解线路中的潮流运算，能够求解各节点电压降，线路网络损耗(Newton- Raphson algorithm for computing the trend line, each node can solve the voltage drop line network losses)

解相关及最小均方误差和传统多用户检测器的比较(Decorrelating and MMSE and traditional multi-user detector comparison)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

四种MATLAB时程分析方法，如中心差分法，Wilson法等，包含主程序。(time-procedure analysis)

一个简单的相控阵超声波探伤及成像系统模型。现在可以模拟三种声波束的成像结果，适合理解超声波探伤原理。( 1 ：for Plane B-scan 2 : for Focused B-scan 3 : for Sector B-scan)

BFGS是一类凸优化算法；对无约束优化问题十分有效。(Convex optimization algorithm; unconstrained optimization)

BPSK_and_ASK Simulation

一个关于无迹卡尔曼滤波的MATLAB程序，供初学者使用。(An unscented Kalman filter on MATLAB program for beginners.)

Electromagnetic Simulation using FDTD Sullivan书中的二维时域有限差分matlab程序(Dimensional FDTD matlab program! Dimensional FDTD Electromagnetic Simulation using FDTD Sullivan book)