matlab.pdf.tar

Voice activity detection using zero crossing criterion.

文献“Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization”的matlab仿真源码(Matlab simulation source literature Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization " )

说明：  运用相移延拓的方法有效地模拟地震波在介质中的传播路径。(Extension of the use of the phase shift method can effectively simulate seismic wave propagation path in the medium.)

这是一个rbf神经网络建模的MATLAB源程序(This is an rbf neural network modeling of the MATLAB source code)

图片放大缩小，good example to learn menubar, a demo can be use in ur poject.(image to enlarge narrow, good example to learn menubar. a demo can be use in ur poject.)

mfile for Matlab Code 12.2 Calculates the GPC law

此代码描述的是正弦函数的频谱图,其采样点不同,频谱图的差别(This code is a sine function described in the frequency spectrum, the sampling point is different from the difference spectrum)

脉冲多普勒雷达接收信号，进行快速傅里叶变换，并进行分析，最后输出图形。最简单的原创(Pulse Doppler radar, the received signal, fast Fourier transform, and analyze the final output graphics. The most simple and original)

产生OFDM信号,能量是100watts，2048 个载波，512个cycle prefix(generate an OFDM signal)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)