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Viterbi_equalization_BPSK

于 2008-05-17 发布文件大小:8KB

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simulink实现bpsk的均衡技术，这里用的是mlse均衡器，看起来简单，其实这里包括了调制，解调，多径和均衡等技术(simulink realization of the balanced BPSK technology, here is the MLSE equalizer, looks simple, in fact, here including the modulation, demodulation, multipath and balanced technical)

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Viterbi_equalization_BPSK.mdl

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c8
说明：无线通信，软件无线电，SDR的有关程序很好啊，哥哥最近在研究这些，想做一个软件无线电的接收机啊，可惜，这个该死的网站，不让我下，吐血，哥哥决定贡献自己的东西，让技术不再隔阂(SDR OFDM QPSK ASK )

2010-05-26 12:51:59下载

积分：1
zlzlfjw
此函数可以实现MATLAB，智能天线方向图函数程序的画法并且可以通过改变参数得到不同的方向图(Smart antenna pattern function MATLAB program)

2013-11-10 21:33:03下载

积分：1
Quire
QUIRE算法用于主动学习，通过信息询问和代表样本来实现。(QUIRE is a package for active learning by querying informative and representative examples. )

2012-02-13 13:12:32下载

积分：1
雷诺方程程序1
通过matlab用有限差分法求解织构单元的雷诺方程程序(The Reynolds equation program for texture elements is solved by finite difference method in MATLAB)

2020-11-25 21:49:31下载

积分：1
mohuhanshugujishipin
用模糊函数法进行时频分析，特别好的程序，本人写论文用到的。(Ambiguity function method using time-frequency analysis, in particular, a good program, I used to write papers.)

2008-03-11 17:28:25下载

积分：1
work7gmsk_turbo
turbocoding in gmsk modulation

2009-04-28 20:43:59下载

积分：1
RobustAdaptiveControl1
robus adaptive control system simulator in Matlap Simulink

2010-11-19 11:57:41下载

积分：1
medical-image-comp
medical imahe compression by wavelet...

2011-04-30 21:13:40下载

积分：1
dos
another progaram that has been in matlab

2013-07-11 09:35:51下载

积分：1
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

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Viterbi_equalization_BPSK

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