wavelet-denoise-matlab-code

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)

讲述了频域模板匹配的原理及算法，将图像转到频域进行处理可以提高匹配的精度(About the frequency domain template matching principle and algorithm, the image to the frequency domain processing can improve the matching precision)

形成14节点的电力系统节点导纳矩阵，其中包含程序运行时所用到的关于网络的参数表，程序有详细的注释(Forming a 14-node system node admittance matrix of power, which includes the use of the program is running on the network parameter table, the program has detailed notes)

完整的一个系统实例，关于职工的信息方面，很有借鉴意义。(Complete example of a system, information on employees, great reference.)

simulation of BLDC motor using sliding mode controller

matlab对机械四杆结构的仿真动画，很难找的，很有价值。(matlab mechanical simulation of four-bar structure animations, it is difficult to find, great value.)

混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑(Chaotic time series prediction matlab routines, own, and hope that we will not stock)

模型参考自适应控制的MIT方法。输入为一单位阶跃信号，自适应律为积分适应律。(MIT model reference adaptive control method. Input is a unit step signal, adaptive law is an integral adaptation law.)

给出了一个简单的方法，使两个单元之间的联系的(gives a easy method of making a link between two cells)

语音信号的分帧处理，实现语音的非平稳化为准平稳过程，利用一些平稳信号的处理方法来处理语音信号。(The sub-frame of the speech signal processing, non-smooth voice of whichever stationary process, some stationary signal processing methods to process voice signals.)