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precoding
程序对2发2收系统进行SVD算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端采用最大似然检测算法，仿真其误比特率特性。(The SVD algorithm simulation program 2 admission system. Send signals using QPSK modulation, channel prevail static Rayleigh flat fading channels, the introduction of noise with mean 0 Gaussian white noise, the receiving end using the maximum likelihood detection algorithm, simulation of the bit error rate characteristics.)
- 2013-03-29 13:36:26下载
- 积分：1
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QAM
The code consitst of QAM-desicion code, and implementation of adaptive filtering with vary equalizer length and delay of desired signal
- 2014-01-06 17:00:37下载
- 积分：1
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ISM
宽带DOA估计算法ISM算法经过运行正确，可以使用(ISM broadband DOA estimation algorithm after running correctly, you can use)
- 2021-04-13 14:48:56下载
- 积分：1
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For-SPH
采用matlab，SPH方法进行流体分析，光滑流体粒子动力学(Using matlab, SPH method fluid analysis, fluid and smooth particle hydrodynamics)
- 2020-09-26 17:37:46下载
- 积分：1
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ch3
Based on Matlab,Gauss Iteration Method (Based on Matlab, Gauss Iteration Method)
- 2007-11-11 12:41:22下载
- 积分：1
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MATLAB-functions
本文介绍了matlab常用数值函数，包括通用命令、运算符和特殊运算符、编程语言结构、基本矩阵函数和操作、基本数学函数和文件输入与输出等。(This article describes the commonly used numerical matlab functions, including general orders, operators and special operators, programming language, structure, function and basic matrix operations, and basic mathematical functions such as file input and output.)
- 2011-11-22 18:13:17下载
- 积分：1
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DES
The archive contains the code is implemented in Matlab one of the most well-known cryptographic symmetric algorithms - Algorithm DES (data encryption standard).
- 2015-04-04 20:40:52下载
- 积分：1
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diancizhang
电磁场与电磁波第四版的答案，比较详细，有用(Electromagnetic field and wave the fourth edition of the answer, more detailed, useful)
- 2014-10-07 16:38:20下载
- 积分：1
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dianti
用matlab制作的模拟动画程序，内容为电梯的升降演示。(Animation produced using matlab simulation program, the content of the elevator lift demonstration.)
- 2013-09-15 07:25:08下载
- 积分：1
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WindyGridWorldQLearning
Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian
domains. It amounts to an incremental method for dynamic programming which imposes limited computational
demands. It works by successively improving its evaluations of the quality of particular actions at particular states.
This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins
(1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions
are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions
to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed
each iteration, rather than just one.
- 2013-04-19 14:23:35下载
- 积分：1
