pv_bingwang

MATLAB code for fast fourier transform

无线定位算法仿真,用matlab做的,本人觉得对做定位很有用(wireless location algorithm simulation using Matlab done, I think the right position to do very useful)

matlab code for qpsk modulation technique

《精通MATLAB GUI》光盘的内容，包含所有章节(MATLAB GUI)

MATLAB的notebook文件，是学习MATLAB的好资料，包括大量的源码(MATLAB' s notebook paper, MATLAB is to learn good information, including a large number of source)

运用 SystemView 仿真软件搭建 QPSK 调制与解调仿真电路,实现QPSK调制与解调功能.(SystemView simulation software used to build simulation of QPSK modulation and demodulation circuit, QPSK modulation and demodulation functions.)

基于锁相环的电网电压定向的矢量控制系统，值得一看，运行时把文件名里的空格去掉。否则不能运行。(PLL-based directional grid voltage inverter)

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.)

自适应滤波原理_西蒙.赫金_Matlab_源代码 希望能够对学习自适应滤波技术的朋友有所帮助(Principles of Adaptive Filtering _ Simon. Hyuk Kim _Matlab_ source code would like to learn adaptive filtering technologies help a friend)

最近在书上找的一个程序，可以对微分方程的解法使用(Themselves in line to see a square root to be evaluated on, you can refer to the following)