sem4_ofdm_19th_jan

包含了OFDM同步的传统方案，及相关算法的同步算法，还包括改进方案和理想同步方案，并且作图(This program includes OFDM code synchronized algorithm)

说明：  基于matlab的自适应分段阈值分割，根据直方图自动寻峰自动分割(Matlab based on adaptive sub-threshold segmentation, according to the histogram peak automatic automatic segmentation)

infinite impulse response filters (IIR).. included LPF,HPF, BPF and BSF.. both butteworth and chebyshev..

BER for BPSK modulation with 2x2 MIMO and ZF-SIC-Sorted equalizer (Rayleigh channel)

使用方法如下： --------------------------------- hcmenu1= uicontextmenu uimenu（hcmenu1,...) uimenu（hcmenu1,...) showcontextmenu（hObj，hcmenu1） --------------------------------- 尝试使用实例test_showcontextmenu.m。 这也包含了日常琐碎的一些功能： getParentFigure（hObject） ％的投资回报hObject的父母图 getPositionOnFigure（hObject，单位） ％返回对象的绝对位置上的数字 getRelPosition（hObject，单位） ％的人能（hObject， 定位 ）与特定的 单位 (Use as follows: --------------------------------- hcmenu1 = uicontextmenu uimenu(hcmenu1,...) uimenu(hcmenu1,...) showcontextmenu(hObj,hcmenu1) --------------------------------- Try test_showcontextmenu.m for usage example. This also contains a number of trivial routine functions: getParentFigure(hObject) returns hObject s parent figure getPositionOnFigure( hObject,units ) returns absolute position of object on a figure getRelPosition( hObject,units ) get(hObject, Position ) with specific units )

a matlab fem code for beginers .pls download it!

很不错的基于模板匹配的matlab程序，有意者可以下载下来看看吧(Very good based on template matching matlab program Interested parties can download to see it)

实现迭代学习控制的simulink数学模型，设置PID参数，可以跟踪期望轨迹(Iterative learning control to achieve the simulink model, set the PID parameters, you can track the desired trajectory)

LM算法编程，值得借鉴。。。。。。。。。。。。。。。。。(fenshuLMLM algorithm)

建立一个实测信号的样本，这里我建立四个随机信号的样本，因为方便显示，蓝色信号为有用信号（正弦信号），黑色的四个信号是随机信号分别与正弦信号叠加形成的实测信号，最后红色的信号为样本的均值信号，即为时域同步平均效果下的信号。(A sample of the measured signal, I created four random signal samples, because it' s easy to display, blue signal is useful signal (sinusoidal signal), four black signal is a random signal with sinusoidal signal is superimposed on the formation of the measured signal. the final red signal is the mean of the sample signal, that is, the average effect of time-domain synchronous signal.)