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ch3
内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。(The contents of each chapter is relatively complete and independent it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few.)
- 2009-10-17 13:21:31下载
- 积分：1
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RayleighChan
非常好用，是一个在rayleighchan下OFDM检测的源代码，希望对大家有帮助(Very easy to use, is a next OFDM detection rayleighchan source code, in the hope that everyone has to help)
- 2008-03-21 19:31:50下载
- 积分：1
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FDTD3D
FDTD _ 3D code in matlab
main structure of 3D fdtd code
- 2013-07-21 23:06:58下载
- 积分：1
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eNBRxPucch_ZcDeCorr
LTE中pucch的ZC基序列去除相关性(ZC base sequence in LTE pucch removal relevance)
- 2014-10-26 15:50:34下载
- 积分：1
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nearest_neighbor_node
Nearesy Neighbor for TSP with Node Insertion MATLAB
- 2013-05-22 04:42:42下载
- 积分：1
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cheby1-lowpass
切比雪夫数字低通滤波器设计及与rememz对比(Chebyshev low-pass digital filter design)
- 2011-01-06 20:10:30下载
- 积分：1
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DocInteraction
说明： 各种格式阅读器，还是非常好用的！！！！！！！！！！！！！！(Reader in various formats, still very nice! ! ! ! ! ! ! ! ! ! ! ! ! !)
- 2011-04-13 14:02:47下载
- 积分：1
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intensity3D
光通过透镜后的3D光强分布，xz平面，默洛尔函数写的(Light through the lens of the 3 D light intensity distribution
)
- 2012-04-26 19:58:52下载
- 积分：1
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func_ezw_demo_main
basic ezw coding for image compression.
- 2015-03-19 15:38:50下载
- 积分：1
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SOM_NN_CODE
An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised learning, a desired output result for each input
vector is required when the network is trained. An ANN of the
supervised learning type, such as the multi-layer perceptron, uses
the target result to guide the formation of the neural parameters. It
is thus possible to make the neural network learn the behavior of
the process under study.
• In unsupervised learning, the training of the network is entirely
data-driven and no target results for the input data vectors are
provided. An ANN of the unsupervised learning type, such as the
self-organizing map, can be used for clustering the input data and
find features inherent to the problem.
- 2015-04-15 00:03:32下载
- 积分：1
