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matlabeasy

于 2013-08-09 发布 文件大小:283KB
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  matlab s easy lessons

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    把信号分为重叠或不重叠的小段,对每小段信号序列进行功率谱估计,然后取平均值作为整个序列的功率谱(The signal into overlapping or non-overlapping short paragraphs, short paragraphs on each of the power spectrum estimation signal sequence, and then averaged Fourier power spectrum as a whole)
    2010-09-19 15:22:17下载
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    积分:1
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    说明:  设计一个有干扰的直接序列扩频通信系统, PN码由m序列产生器产生,经过高斯白噪声信道。在接收端接收到的信号包括“有用信号+高斯白噪声+干扰”,将接收信号进行解扩,判决,得到用户的信号检测结果,绘制不同的扩频增益(增益值为10,30,50)下,误比特率随信噪比Eb/N0的变化曲线。(Design of a direct sequence spread spectrum interference system, PN code generated by the m sequence generator, after white Gaussian noise channel. Receives the signal at the receiver, including &quot useful signal+ Gaussian white noise+ interference&quot , will receive the signal despreading, judgments, get the user' s signal test results, draw a different spreading gain (gain value of 10,30, 50), the BER curves with the signal to noise ratio Eb/N0.)
    2010-05-03 14:18:32下载
    积分:1
  • kmeansK
    KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:
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    2012-02-08 22:42:09下载
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