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c
说明： 约瑟夫问题的实现：设有n个人围坐在圆桌周围，现从某个位置m（1≤m≤n）上的人开始报数，报数到k的人就站出来。下一个人，即原来的第k+1个位置上的人，又从1开始报数，再报数到k的人站出来。依此重复下去，直到全部的人都站出来为止。试设计一个程序求出出列序列。(Joseph realized the problem: There are n people sitting around the round table, is from a position of m (1 ≤ m ≤ n) reported on the number of people began to be reported to the k number of people to come forward. The next person, that is, the original positions on the first k+1 people, and from the number reported at 1, then the number reported to the k to stand up. So repeat this until all the others can stand up. Try to design a program derived from the column sequence.)
- 2011-03-23 15:36:50下载
- 积分：1
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Eigbased
基于子空间的波束形成算法，主要利用信号子空间投影的原理(Subspace-based beamforming algorithm, the main use of the principle of the signal subspace)
- 2021-02-05 12:09:57下载
- 积分：1
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36331-b40
3GPP组织给出的LTE系统高层无线资源控制RRC层规范，希望帮到LTERRC层爱好者。(3GPP LTE system tissue senior radio resource control (RRC) layer specification given, I hope to help LTERRC layer enthusiasts.)
- 2014-01-08 16:29:30下载
- 积分：1
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RDA
大斜视角下，点目标的距离多普勒算法(RDA,Range_Doppler Algorithm)仿真，Matlab语言。(Range_Doppler Algorithm,Matlab)
- 2014-02-25 23:56:41下载
- 积分：1
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013362822yuanzhen
对均匀圆阵和均匀线阵的方向图指向进行描述 matlab(UCA ULA MATLAB)
- 2010-11-30 10:11:43下载
- 积分：1
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matlab
说明： 很好的讲述了matlab的基础知识，使你可以更好的学习、入门。欢迎大家学习与交流。(Good about the basics of matlab, so you can better learn, get started. Welcome to the learning and exchange.)
- 2011-03-22 17:07:02下载
- 积分：1
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BAM_1
利用matlab軟體實現類神經網路 BAM演算法(Neural network using matlab BAM implementation)
- 2011-01-19 00:41:11下载
- 积分：1
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MUSIC_LINE
实现基本MUSIC算法,加入高斯白噪声,完成信号来波方向的精确定位(achieve basic MUSIC, by adding Gaussian white noise, the complete signal wave direction to the precise location)
- 2007-06-22 09:44:38下载
- 积分：1
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NOMOTO
作业：Nomoto 数学模型 model on MATLAB(homework: Nomoto mathematical model on MATLAB)
- 2020-12-16 15:59:12下载
- 积分：1
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gradient descent
说明： 梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)
- 2019-02-21 23:13:19下载
- 积分：1
