一个聚类算法用K-mean处理后迭代,论文发表在PAK
上传时间: 2013-12-09
上传用户:66666
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
标签: zero-mean Generate sequence variance
上传时间: 2016-03-04
上传用户:朗朗乾坤
Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification
标签: Amplification Analysis waveform Impact
上传时间: 2014-01-15
上传用户:hgy9473
mean shift
上传时间: 2016-03-14
上传用户:huql11633
Please read them carefully before you write the package to their specific functions (at least 20 characters). As far as possible not to let the station for the time you have spent on that amendment. Have to extract the password to the password
标签: carefully functions specific package
上传时间: 2016-03-30
上传用户:小儒尼尼奥
多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
标签: Least-squares arbitrary Purpose Builder
上传时间: 2013-12-18
上传用户:宋桃子
k-mean算法演示,利用手工输入点通过k类自动聚合
上传时间: 2016-04-09
上传用户:shanml
c-mean聚类算法源代码,通过对输入数据进行训练和分类类别设定,能够得到数据的聚类图。
上传时间: 2013-12-26
上传用户:colinal
k-mean算法的源码,对聚类非常有用!!可以直接使用!
上传时间: 2016-04-21
上传用户:ZJX5201314
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variables independently (separately) for each k MATLAB function random.
标签: generating Generate Gaussian digital
上传时间: 2014-01-15
上传用户:sammi