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eeglab
学习EEGLAB的最好的教程,英文版教程(The best tutorial of EEGlab,English version)
- 2011-05-06 11:08:07下载
- 积分:1
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water.m
水印方面 源代码 可以 研面究新手可以参考(shuiyin matlab)
- 2011-05-21 12:45:38下载
- 积分:1
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fluent_udf_lecture
对fluent软件udf的使用,开的讲座讲义,fluent udf lecture(training lecture for udf in fluent)
- 2020-08-05 14:48:32下载
- 积分:1
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o-matlab
ofdm系统matlab仿真研究,结合书本觉得很有用。(Simulation of the system matlab OFDM, combine the book feel useful.)
- 2013-05-05 21:24:37下载
- 积分:1
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BOC
boc调制方式的频谱特性,说明其对多径干扰的优良特性。。(boc spectrum)
- 2021-01-03 17:38:56下载
- 积分:1
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channnel_encode_BSC_channnel
在BSC信道下,信道编码的设计,包括了Hamming Code Golay Code Circle Code and Converlute Code,对各种信道编码的误码率(BER)和程序开销(运行时间)性能进行了仿真分析
(channel encode including Hamming Code Golay Code Circle Code and Converlute Code in BSC channel.
)
- 2009-06-26 12:20:44下载
- 积分:1
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ppb
This MATLAB software implements the denoising algorithm (the Probabilistic
Patch-Based filter) for images damaged by multiplicative Nakagami-Rayleigh
noise as presented in: Iterative Weighted Maximum Likelihood Denoising
with Probabilistic Patch-Based Weights , C-A. Deledalle, L. Denis and
F. Tupin, IEEE Trans. on Image Processing, vol. 18, no. 12, pp. 2661-2672,
December 2009. It also corresponds to the NL-SAR filter: A non-local
approach for SAR and interferometric SAR denoising , C-A. Deledalle,
Florence Tupin and Loï c Denis, in the proceedings of IGARSS, Honolulu,
Hawaii, USA, July 2010.
This software is free and should be used only for nonprofit purposes. Any
unauthorized use of this software for industrial or profit-oriented
activities is expressively prohibited.
- 2015-03-27 23:25:30下载
- 积分:1
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MATLAB
induction machine m-file (matlab) simulink
- 2009-04-25 19:07:45下载
- 积分:1
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Control_Allocation
控制分配 用于航天执行器的控制分配,希望对大家有用(control allocation)
- 2012-06-01 21:31:21下载
- 积分:1
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Tsteepest_desh
这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法,它在最优化方法中占有重要地位.最速下降法的优点是工作量小,存储储变量较少,初始点要求不高;缺点是收敛慢,最速下降法适用于寻优过程的前期迭代或作为间插步骤,当接近极值点时,宜选用别种收敛快的算法.
(The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)
- 2012-08-20 07:27:17下载
- 积分:1