毕业设计（论文）-基于MATLAB小波变换的去噪应用

说明：  用双线性变换设计数字滤波器，里面附有详细的实验说明和matlab运行通过的实验源码和对实验结果的分析(Using bilinear transform digital filter design, which experiments with detailed descriptions and matlab source code to run through the experiment and the analysis of experimental results)

解耦，恢复原信号，已经调试成功.内含m文件，可直接运行，针对EMD方法的不足。( Decoupling, restore the original signal, Has been successful debugging. M contains files can be directly run, For lack of EMD.)

说明：  matlab基本信号处理函数及实例应用，非常有用的！(matlab basic signal processing functions and application examples, very useful!)

针对风力发电机组传动系统故障时特征量提取困难的问题,提出了改进的小波包结合包络谱的故障诊断新方法。深入研究了小波包频带错乱的问题，对小波包实施了改进，消除了频带错乱的缺陷(In view of the wind turbine drive system characteristics, failure and difficult problems, puts forward the improved wavelet packet combining spectral envelope, a new method of fault diagnosis. Further study of the wavelet packet frequency band derangement, improvements were carried out for wavelet packet, to eliminate the defect of the frequency band derangement)

itk matlab 接口的windows版(itk matlab interface windows version)

说明：  高斯信道和噪声产生方法的简单程序，直接解压无密码(Gaussian noise channels and formation of simple procedures, without directly extracting passwords)

bicubic.m bilinear.m nearest.m多媒体实验m文件 用matlab软件实现(bicubic.m bilinear.m nearest.m)

级联多电平并网逆变器直接功率控制，有功武功可以实现解耦控制，动态和静态性能良好。(cascade multilevel invertor direct power control)

说明：  matlab科学计算的几乎所有数学算法以及仿真。每一个m文件在我学习的时候都验证了其正确性。前面的比较简单，逐步深入。另外对部分算法本人在学习中做了优化，更简洁。(matlab scientific computing almost all mathematical algorithms and simulation. M each file in my learning at all times to verify its correctness. In front of a relatively simple step by step in depth. In addition to some algorithm I have done a study of optimization, a more concise.)

自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。(Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband noise signal is Gaussian white noise, the delay D = 50 convergence factor, and when the filtering effect.)