singal_processing

特征提取，fastPCA ,matlab 源码(Feature Extraction, fastPCA, matlab source)

设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。(design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment.)

对于移动通信系统主要有两类衰落：大规模衰落和小规模衰落。大规模衰落表示由于大范围内移动而引起的平均信号能量的减少或路径损耗。而小规模衰落则表现为两种机制：信号的时延扩展和信道的时变特性。对于无线应用，信道的时变特性是由于发射机和接收机相对移动而造成传输路径的变化。这些传播条件的变化速率影响衰落率。如果存在大量反射路径而不存在视行信号分量，此时的小规模衰落称为瑞利衰落(Rayleigh fading)，接收信号的包络由瑞利概率分布函数统计描述。这种衰落也就是这次实验我准备研究的(system for mobile communications fading there are two main categories : large-scale and small-scale fading fading. In view of large-scale decline of large scale movement of the average energy of the signal path to reduce or loss. And the decline of small-scale, it was manifested as two mechanisms : signal delay expansion and channel time-varying characteristics. For wireless applications, channel time-varying characteristics as transmitter and receiver relative movement caused transmission path changes. These conditions spread of the rate changes affect the rate of decline. If there is a large number of pathways exist without depending on the signaling component, At that time, the decline of small-scale known as Rayleigh fading (Rayleigh fading). The received signal envelope from Rayleigh )

改算法描述了基于最小均方误差的多用户信号检测(MMSE,MUD,CDMA)

Half wave rectifier simulation for beginner

histogram maching for image processing

该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)

探讨了在 MATLAB 环境中实现遗传算法仿真的方法 ,并以一个简单的求函数最值的问 题作为遗传算法的应用实例 ,说明遗传算法的全局寻优性及用 MATLAB 实现仿真的可行性(Explore the genetic algorithm simulation in MATLAB environment, and the value of a simple demand function as genetic algorithm application examples, description of the genetic algorithm global optimizing nature and the feasibility of using MATLAB simulation)

维纳滤波算法去除加噪声音乐程序，效果比较好，有图为证。(Wiener filter algorithm to remove noise adding music program, the effect is better, has a license to the graph. )

从曲线中检测到其峰值：先利用二次求导得到所有凸点，设置门限，去除过低的凸点，然后利用滑动窗的方法，在凸点中求得满足峰值要求的点(Detected from the curve to its peak: the first use of the second derivative method to get all the bumps, set the threshold too low to remove the bumps, and then use a sliding window, obtained in a bump to meet peak requirements of point)