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EDFAI
bragg reflection computation
- 2009-11-21 06:53:18下载
- 积分:1
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NEW.PSO
新的简单的粒子群算法 ,可以用于算法优化,全局寻优(A new simple PSO Particle Swarm Optimization )
- 2012-05-28 11:55:04下载
- 积分:1
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wavelet_denoising3_20
这是利用二维小波分析对含高频噪声的图像进行消噪的例程,这里采用的是小波分解系数阈值量化法,(This is the routine use of two-dimensional wavelet analysis denoising images with high-frequency noise, the wavelet coefficients threshold quantization method used here,)
- 2013-03-28 18:08:33下载
- 积分:1
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tououyingjuzhen
投影重建中一种据算投影矩阵的方法,用于代数迭代重建中(According to calculate a projection reconstruction projection matrix method Used for algebra iterative reconstruction)
- 2011-12-05 16:55:42下载
- 积分:1
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Multivariate-statistical
多元统计程序包,包括聚类分析、回归分析等等!(Multivariate statistical package, including cluster analysis, regression analysis and so on!)
- 2009-04-27 20:12:07下载
- 积分:1
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reconosimiento-de-voz
Get reduce the size of an original sound file between half to three quarters of the initial size. The FLAC format is often used to sell music online, and as an alternative to MP3 to share when you want to reduce the file size would have
- 2013-11-12 02:35:06下载
- 积分:1
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simulink模型7.8
说明: 一种FxLMS自适应滤波算法
LMS自适应滤波算法RLS自适应滤波算法变换域自适应滤波算法仿射投影算法共扼梯度算法基于子带分解的自适应滤波算法基于QR分解的自适应滤波算法算法性能评价变步长的自适应滤波算法时变系统跟踪速度与收敛精度方面对算法调整步长因子u的矛盾,但变步长中的其它参数的选取还需实验来确定,应用起来不太方便。对RLS算法的各种改进,其目的均是保留RLS算法收敛速度快的特点而降低其计算复杂性。变换域类算法亦是想通过作某些正交变换使输入信号自相关矩阵的特征值发散程度变小,提高收敛速度。而仿射投影算法的性能介于LMS算法和RLS算法之间。共扼梯度自适应滤波算法的提出是为了降低RLS类算法的复杂性和克服某些快速RLS算法存在的数值稳定性问题。信号的子带分解能降低输入信号的自相关矩阵的特征值发散程度,从而加快自适应滤波算法的收敛速度,同时便于并行处理,带来了一定的灵活性。(A FXLMS adaptive filtering algorithm)
- 2020-09-18 10:27:53下载
- 积分:1
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chaos
各种chaos相图和相关时序图,比如logistic等(Various chaos phase diagram and related timing diagram,Such as logistic , etc.)
- 2013-11-23 16:33:41下载
- 积分:1
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systemview
systemview通信系统仿真,自己写的word文档,希望有用(systemview communication system simulation, write your own word document, I hope useful)
- 2015-03-19 16:41:54下载
- 积分:1
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crclib
It is one of the files which will help in designing the biped simulation model by controlling it through regression model.
- 2015-04-12 18:37:22下载
- 积分:1