-
function
产生持续固定持续时间的正弦脉冲并绘制出其频谱图
(Have a fixed duration of continuous sinusoidal pulse and frequency spectrum to map out its)
- 2009-05-05 20:51:27下载
- 积分：1
-
Matlab-program-language
说明： matlab源文件的程序编写方式，为matlab编程提供了参考。(How to make matlab programming source files, a reference matlab programming.)
- 2009-08-16 10:12:56下载
- 积分：1
-
pingfanggenshengyuxuanlizi
通信系统仿真原理与无线应用第五章平方根升余弦例子(Communication System Simulation Principle and wireless applications, the fifth chapter examples of the square root raised cosine)
- 2009-03-11 15:47:50下载
- 积分：1
-
spsmd
图像的平面微分平方和能够反映图像高频分
量的能量。用计算平面微分平方和的方法在空间域上计算相邻像素亮度差值的平方和，对应于在频率域上计算图像高频分量的能量和，此值越大，图像对焦越准确(Differential square image plane and the image can reflect the energy of high frequency. Computational method of Planar Differential squares calculated in the space domain to the square of the difference between the brightness of adjacent pixels and corresponds to the image in the frequency domain calculation of high frequency energy and, this value is larger, the more accurate the image focus)
- 2011-01-14 14:25:47下载
- 积分：1
-
daolibai
倒立摆，用最优控制的方法实现倒立摆平衡，程序通过测试(Inverted pendulum, with the optimal control method to achieve a balance an inverted pendulum, the program tested)
- 2011-05-02 13:28:36下载
- 积分：1
-
pdp_dtlk
这个程序是用matlab编写的，主要使用于等离子显示器动态轮廓消除仿真！(This program is written using matlab, mainly used in plasma display dynamic contour eliminate simulation!)
- 2013-01-01 16:51:45下载
- 积分：1
-
fastlms
快速块LMS算法 利用FFT，实现频域的LMS快速算法，并且能够加快算法的收敛速度(Fast Block Least Mean Squares)
- 2020-07-04 12:40:02下载
- 积分：1
-
sepctrum_sensing
spectrum sensing by user design
- 2015-03-09 16:57:35下载
- 积分：1
-
f_mart3
与ART算法相对应，采用乘法迭代算法MART进行层析成像反演的必备程序。(And ART algorithm corresponds iterative algorithm using multiplication MART tomography inversion essential procedures.)
- 2014-02-25 10:53:52下载
- 积分：1
-
k_means
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.)
- 2011-01-04 12:30:31下载
- 积分：1
