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this project s about smart antennas

说明：  基于MATLAB的直接序列扩频通信系统仿真，可以去参考一下(MATLAB-based direct sequence spread spectrum communication system simulation, you can go to reference)

采用身高和体重数据作为特征，利用C均值聚类方法对数据进行聚类，并将聚类结果表示在二维平面上。(Height and weight data as a feature, using C-means clustering method of data clustering and clustering results expressed in the two-dimensional plane.)

最大似然估计算法Matlab实现，不容易啊！！！！！！！！！！(Maximum likelihood estimate，not so esay！！！！！！！！！！)

基于同态处理的语音信号基音检测，利用同态处理中的倒谱或者复倒谱方法，检测语音周期(Based on homomorphic processing of the speech signal pitch detection, homomorphic processing or complex cepstrum cepstrum method to detect voice cycle)

说明：  基本的DE程序对于初学者很有帮助 希望对大家有所帮助(basic DE)

实现分数阶傅里叶变换，可以用于LFM信号的时频分析。(Realizing Frft, which can be used to perform the time frequency analysis of the LFM signal.)

说明：  为图像分别加高斯噪声和椒盐噪声，采用中值滤波方法对受噪声干扰的图像滤波，窗口分别采用3*3,5*5,7*7；(Gaussian noise and salt and pepper noise are added to the image respectively. The median filtering method is used to filter the image disturbed by noise. The window is 3 * 3,5 * 5,7 * 7;)

time series In this example we will use a synthetic data set. To create our synthetic data we will make our unit of time 1000 years = 1 ky and sample a 500,000 year record in 2 ky increments. We first create a vector containing the times:

个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(matlab)