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MATLAB-application
matlab软件在有限差中的应用，里面含有一篇相关论文(the software matlab finite difference, which contains a related paper)
- 2013-02-02 23:37:55下载
- 积分：1
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OFDMinAWGNandRayleigh
白噪声和瑞利信道下对OFDM的仿真实现，不错，推荐给大家。(White noise and Rayleigh channel simulation of the OFDM to achieve)
- 2014-09-22 06:26:34下载
- 积分：1
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SVG仿真，接单相负载
说明： SVG仿真，运行在simulink环境下，接单相负载。(SVG simulation, running in simulink environment, single-phase load.)
- 2020-07-03 00:00:01下载
- 积分：1
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matlab-tutorial
here the matlab code is used for simulation of fading channels and convolutional codes
- 2011-01-20 18:06:29下载
- 积分：1
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xindaorongniang
用matlab实现信道容量的仿真，其中包括注水原理的仿真(Achieve channel capacity with matlab simulation, including simulation of water injection principle)
- 2011-04-26 19:40:47下载
- 积分：1
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main_Noncoherent_dec
实现扩频里随机信号和伪码序列的产生，以及关于生成扩频序列的MATLAB程序，并用载波信号实现2PSK调制,在接收端用非相干积分实现捕获以及虚警概率的计算(Spread spectrum signal generated in the realization and pseudo random code sequence, and generate MATLAB program about spreading sequences and achieve 2PSK modulated carrier signal used to calculate the receiving end with a non-coherent integration to achieve capture and probability of false alarm)
- 2021-05-08 17:58:35下载
- 积分：1
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CardinalPointsFinder
利用Matlab实现光学系统光线追迹功能(Ray tracing of optical system with matlab)
- 2021-02-06 19:09:56下载
- 积分：1
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agh_chapter06
lagre no of m file for matlab course code
file #5(lagre no of m file for matlab course code
file#5)
- 2009-05-08 00:08:57下载
- 积分：1
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music
用matlab实现非相干信号music算法的DOA估计(Using matlab to achieve non-coherent signal music algorithm for DOA estimation)
- 2012-05-10 14:49:31下载
- 积分：1
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active-learning-code
Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量
getlabel.m:根据树和测试样例，得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树，
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m：给定属性取值，造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分：1
