lab_1-4

本文是一片关于FFT的Matlab仿真分析，很具体，配有大量清晰的仿真图片~~有利于FFT初学者的学习(This article is one of the Matlab simulation on the FFT analysis, very specific, clear配有大量simulation picture ~ ~ is conducive to learning for beginners FFT)

说明：  生成PI的一个小程序 可以精确掉小数点后几百位。 (PI generated a small program can accurately swap places after the decimal point a few hundred.)

实现电力系统的潮流计算，采用的事PQ方法来编程(Achieve power flow calculation method used to program the things PQ)

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.)

MO SIANG malaysia character exp hack

FilterTitleOverlay字幕叠加的filter(FilterTitleOverlay subtitles superimposed filter)

计算两个日期的和或差，以及计算一个日期和一个天数的和或差，(Calculate two dates and or poor, and to calculate a date and a number of days and or poor,)

matlab与VC很不错的。肯定不少人需要吧。(matlab with the VC is very good. Certainly a lot of people need it.)

用matlab实现的心电数据的去除基线漂移和去噪功能，方便大家使用(Implemented with the matlab ECG baseline drift removal and denoising function to facilitate the people to use)

matlab入门经典教程--百看不厌1.rar(Getting Started tutorial matlab classic- never lost their appeal 1.rar)