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~7Book_MATLAB+simulink
电子通信系统的建模与仿真
第7章 通信系统差错控制仿真
7.1 缩短卷积码
7.2 有缩短卷积码加交织的差错控制系统研究
7.3 自适应均衡系统（LMS算法）
7.4 迭代译码的级联卷积码
(Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction)
- 2021-04-23 20:28:47下载
- 积分：1
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zixiangguan
说明： 自相关的matlab程序。可以用于信号的周期性监测。(Since the procedures related to matlab. The cyclical nature of the signal can be used for monitoring.)
- 2009-08-12 10:52:32下载
- 积分：1
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allanmj
说明： 此程序能应用于陀螺的allen方差的计算(allen Variance calculations used for gyroscope )
- 2010-04-18 06:24:21下载
- 积分：1
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myDTOP_mutual_MES
互耦效应下的单次快拍算法,能够实现一维快速DOA估计，且不受互耦影响(single snapshot algorithm in the presence of mutual coupling)
- 2014-12-01 22:14:38下载
- 积分：1
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newcode
用matlab实现多次最佳一致的函数逼近 用matlab实现多次最佳一致的函数逼近(Using matlab to achieve the same function many times the best approximation using matlab to achieve the same function many times the best approximation)
- 2020-11-26 23:19:30下载
- 积分：1
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MATLABzhilingdaquan
说明： matlab拥有很强的计算功能，里面有很多指令需要会用。(failed to translate)
- 2010-04-18 23:50:11下载
- 积分：1
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IBP-algorithm
迭代反投影算法 基于多图帧偏移的IBP算法(Iterative back projection algorithm)
- 2021-01-31 21:50:08下载
- 积分：1
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paper2
Solving Power Flow Problems with a Matlab Implementation of the Power System Applications Data Dictionary
- 2010-08-18 12:38:42下载
- 积分：1
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HSV
HSV模板的人脸肤色分割程序，用于人脸识别及定位工作中(HSV template, skin color segmentation procedures for the recognition and positioning work)
- 2010-12-21 17:58:16下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
