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posterior
关于脑电信号中机械噪声，工频噪声，以及基线漂移的处理，以及提取脑电信号中的特质点，应用matlab中的小波变换来进行消噪找特征点(On the EEG machine noise, frequency noise, and baseline drift of the processing, as well as the characteristics of EEG in point, application of wavelet transform in matlab to find feature points for Denoising)
- 2010-06-20 22:34:37下载
- 积分：1
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Matlab_Sample100
Matlab 编程百例,有百个原程序
Matlab 编程百例,有百个原程序()
- 2008-05-04 09:50:44下载
- 积分：1
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NONOBS
使用结构时间序列对比利时每年的GDP数据进行建模( use structural time series models build a model for annual Belgium GDP data,)
- 2011-04-19 18:55:00下载
- 积分：1
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rs-3.1.1
关于rs码的编解码，质量很是不错，学习起来不错。(The codec on rs code, the quality is very good, is nice to learn.
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- 2014-11-14 09:16:12下载
- 积分：1
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travaux pratique observateur
说明： adaptative colntrol with luenberger observer
- 2021-04-02 09:49:07下载
- 积分：1
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ICALAB_last
独立分量ica：快速ICA算法软件包是基于MATLAB程序实现的快速定点独立成分分析和投影寻踪算法。它具有一个易于使用的图形用户界面，以及强大的计算算法。(The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm)
- 2009-12-05 22:46:24下载
- 积分：1
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dsp
统及系统响应实验二用FFT作谱分析实验三用双线性变换法设计IIR数字滤波器(cessing lab report experiment a signal, system and system response for the second experiment with the FFT spectrum analysis experiment with three bilinear transform IIR digital filter design)
- 2011-05-23 11:15:16下载
- 积分：1
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Pv_simulink
PV-SIMULINK FILE FOR SOLAR SYSTEM
- 2014-01-26 13:39:05下载
- 积分：1
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ECA_RD_DRM
说明： 产生复高斯的白噪声,这和matlab 自带的不一样，容易理解，但是经对比还是和自带的有区别的(AWGN noice we are very nice. please try to run it snd you will find you are good too.)
- 2019-05-16 21:43:25下载
- 积分：1
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TwIST_v2
说明： 迭代收缩/阈值（IST）算法是近年来提出的一类凸无约束优化问题和其它线性逆问题的一种新方法。这类问题是将线性观测模型与非二次正则化器（例如，全变差或基于小波的正则化）相结合的结果。这些算法的收敛速度很大程度上取决于线性观测算子的条件，当该算子病态时收敛速度变慢。(Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle a class of convex unconstrained optimization problems arising in image restoration and other linear inverse problems. This class of problems results from combining a linear observation model with a non-quadratic regularizer (e.g., total variation, or wavelet-based regularization). It happens that the convergence rate of these IST algorithms depends heavily on the condition of the linear observation operator, becoming very slow when this operator is ill-conditioned.)
- 2020-12-12 19:29:38下载
- 积分：1
