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Chaaddred
说明: LMS自适应算法自适应预测的计算机实验matlab仿真例子(LMS adaptive prediction algorithm for the adaptive computer simulation experiments Matlab example)
- 2006-03-26 14:10:40下载
- 积分:1
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matlab
matlab的简单使用,使用于初学者和对matlab有兴趣的朋友(how to use matlab easily)
- 2010-05-07 20:04:38下载
- 积分:1
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PSNR
psnr calculation matlab code
- 2015-03-01 01:56:07下载
- 积分:1
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bp
利用BP网络对非线性系统进行辨识,同时,利用模型参考自适应方法,设计NNMARC控制器(BP network identification of nonlinear systems, at the same time, the use of model reference adaptive method, design NNMARC controller)
- 2013-05-13 22:43:44下载
- 积分:1
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MATLAB-wavelet
说明: matlab小波分析-张丰德 这本书里所有的源代码(matlab wavelet analysis- Zhang Fengde this book all the source code)
- 2011-03-23 15:08:28下载
- 积分:1
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PCA
全面分析机械类个企业的经济效益,以一家公司的盈利额为研究对象,选择了8个不同的利润指标,14企业关于这8个指标的统计数据如下表所示,试进行主成分分析。(Comprehensive analysis of the economic efficiency of enterprises machinery months to a company' s earnings amounted research object, select 8 different profit targets, 14 companies on these eight indicators of statistical data in the following table and try to principal component analysis.)
- 2013-09-30 04:00:47下载
- 积分:1
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yuyinjiazhongFFT
语音信号处理来的预加重随后进行FFT变换,同时呈现结果图。(Speech signal processing preemphasis subsequent FFT, simultaneous presentation of the results in Fig.)
- 2012-09-27 15:07:57下载
- 积分:1
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zhicha
本人对载波同步方面深有研究,这是研究生期间做的用插值算法实现载波估计算法,算法性能很好,接近MCRB。(I have a deep respect for carrier synchronization study, which is done during graduate interpolation algorithm used carrier estimation algorithm, algorithm performance is very good, close to MCRB.)
- 2014-06-14 11:37:43下载
- 积分:1
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doppler-estimation-(3)
里面有多个多普勒频移估计的高质量文章,不同的温江介绍不等的算法,有几个会有相似之处,在我看来这是非常好的多普勒频移估计的IEEE文章,希望对大家有用!(There are more than the estimated Doppler shift quality paper, different algorithms ranging Wenjiang introduction, there are several similarities, in my opinion this is a very good estimate of the Doppler shift of IEEE article, we hope to useful!)
- 2014-09-23 15:10:25下载
- 积分:1
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laplacian_eigen
Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
- 2011-01-23 02:17:08下载
- 积分:1