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shujuyuhanshudkeshihua
介绍基于ＭＡＴＬＡＢ平台的可视化编程．
重点介绍了数据和函数的可视化．(Introduction Based on MATLAB platform visual programming. Focuses on data and function visualization.)
- 2007-08-13 11:31:15下载
- 积分：1
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AdaptiveWavelet
Adaptive Wavelet Thresholding for Image Denoising and Compression.pdf
- 2013-12-27 23:51:30下载
- 积分：1
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fastica
国外、国内的最多的fastica程序，很好用，参数不用改，直接用默认的即可。(fastica)
- 2010-12-02 10:14:45下载
- 积分：1
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equalizer
自适应滤波器的实现：包括信号的产生,最优系数的求解等等。(The implementation of adaptive filter, including the signal generation. solve the optimal coefficients and so on.)
- 2009-03-13 16:33:47下载
- 积分：1
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cache
The cache manager source code implemented in Windows kernel.
- 2009-05-30 14:00:05下载
- 积分：1
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EKF2
说明： 原代码包括捷联惯导初始对准程序,实用性强,便于学习(chushiduizhun)
- 2010-04-22 22:49:22下载
- 积分：1
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AR
说明： AR.m的matlab源程序，用于预测模型使用，别人给的！(AR.m matlab source code for the prediction model using someone else' s!)
- 2013-07-30 10:26:07下载
- 积分：1
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estimacion-PLANTA
Script to use it in Intouch, on estimation plant
- 2012-08-06 09:25:27下载
- 积分：1
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mengyao_v10
通过matlab代码，该函数用来计算任意函数的一阶偏导数(数值方法),cordic算法的matlab仿真。( By matlab code, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), cordic matlab simulation algorithm.)
- 2016-11-15 15:32:09下载
- 积分：1
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gaussfilterbasedukf
：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无
迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤
波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)
- 2007-07-24 11:21:38下载
- 积分：1
