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s-function
本文主要介绍了如何在MATLAB中创建s函数，s函数的定义、功能以及如何正确的编写s函数，从而简化MATLAB的编程，使MATLAB模块更加清晰。(this passage mainly describe the s function in MATLAB about creating this function and how to use this function)
- 2014-09-16 09:23:24下载
- 积分：1
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costas-loop
Costas环是用来解调双边带抑制载波信号的,也是二相或四相移相键控信号解调的专用环路(Costas loop for demodulating the double sideband suppressed carrier signal, two-phase or four-phase shift keying signal demodulation dedicated loop)
- 2013-04-20 11:39:27下载
- 积分：1
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TE
说明： 田纳西伊斯曼仿真数据，包括训练集和测试集(The Tennessee Eastman simulation data)
- 2013-04-08 09:54:49下载
- 积分：1
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NOMA (2)
说明： NOMA的吞吐量的计算，可以正确计算出结果。实测有效。(The throughput of NOMA can be calculated correctly. The measured results are effective.)
- 2021-04-19 10:08:51下载
- 积分：1
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IONORT_0_7_2
说明： 电离层射线追踪模型：计算射线在电离层中的传播路径(Ionospheric ray tracing model: calculating ray paths in the ionosphere)
- 2021-03-12 10:20:26下载
- 积分：1
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svm_v251
用matlab实现的svm程序实例，希望能对感兴趣的人有帮助(Achieved by SVM matlab instance, hoping to help people who are interested in)
- 2007-12-02 21:33:54下载
- 积分：1
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FIG002
Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究.
(Rosenblatt perceptron Matlab algorithm linear classifier, an iterative algorithm is proposed by Frank Rosenblatt in 1956. The algorithms have been proposed, there have been a lot of attention. Perceptron in the history of the development of neural network occupies a special Location: It is the first complete description of the algorithm neural network in the 1960s and 1970s, was inspired by the perceptron, engineers, physicists and mathematicians have engaged in different aspects of the neural network .)
- 2012-07-18 16:15:28下载
- 积分：1
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LMS2
用matlab实现lms算法，可以在信号处理中减小噪声的误差(Using matlab lms algorithm can reduce the noise in the signal processing error)
- 2013-04-12 23:25:23下载
- 积分：1
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LDA
data from x per x matrices that i found, i do not know what is this about.
- 2010-12-30 12:30:47下载
- 积分：1
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hough2
实现霍夫变换的功能程序，
function [rodetect,tetadetect,Accumulator] = houghtrans(imb,rostep,tetastep,thresh)(function [rodetect,tetadetect,Accumulator] = houghtrans(imb,rostep,tetastep,thresh))
- 2010-05-27 17:13:16下载
- 积分：1
