project

基于AWGN信道的OFDM仿真程序，欢迎下载参考相互学习！(Based on the AWGN channel OFDM simulation program are welcome to download a reference to learn from each other!)

matlab code for spatiograms of images

说明：  可进行位置识别,通过声源的波束形成,可知道其相关信息.再加上(can identify the location, source, a beam forming, know relevant information. Plus )

将带噪声的音频文件中的噪声滤除掉，得到原始音频信号(The noisy audio file noise filtered out to obtain the original audio signal)

DWT音频水印嵌入算法程序，DWT音频水印嵌入算法程序，DWT音频水印嵌入算法程序(Audio watermarking algorithm in DWT DWT audio watermarking algorithm, DWT audio watermarking algorithm)

Generalized Predictive Control Algorithm

FBMC prototype filter for 5g communications through wireless interface.

伪魏格勒分布源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.(pseudo-source code distribution. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords.)

ofdm调制信号Matlab仿真生成代码 压缩包内为.m文件可直接用matlab打开(ofdm outer)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)