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optimizing_c__
Optimizing C++ ebook
- 2010-11-22 01:53:15下载
- 积分：1
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ewa
Matlab code necessary
- 2011-07-02 23:44:22下载
- 积分：1
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水下无人航行器（AUV）simulink仿真工具箱
水下无人航行器（AUV）simulink仿真工具箱,安装后即可用里面给出的各种AUV模型进行仿真，是挪威科技大学的学生做的，很不错。(Unmanned underwater vehicle (AUV) simulink simulation toolbox, which can be used after installation of various AUV model given simulation, the Norwegian University of Technology, students do very well.)
- 2021-03-17 14:39:20下载
- 积分：1
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lvbo
实现用LMS算法进行自适应滤波的仿真，基于GUI实现(Implementation using LMS algorithm for the simulation of adaptive filter, based on the GUI implementation
)
- 2013-11-29 10:44:41下载
- 积分：1
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second
此程序用提升法实现第二代小波变换用的是非整数阶小波变换,采用时域实现,步骤先列后行(procedure used to upgrade Method second generation wavelet transform the non-integer-order wavelet transform, time domain realized, first out go backward steps)
- 2014-04-24 09:14:33下载
- 积分：1
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liu5
2FSK数字调制通信系统）的详细代码！！可以用于MATLAB上得出图像。(2FSK digital modulation communication system) more code! ! MATLAB can be used to draw images on.)
- 2010-06-27 15:06:11下载
- 积分：1
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denoiseTV_L1OR2
图象TV去噪,它是一个著名的图象去噪模型,能保持边沿(TV denoising images, it is a well-known image denoising model, able to maintain the edge)
- 2007-12-08 13:26:56下载
- 积分：1
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BayesianClasser
贝叶斯分类器matlab版，可以用于图像分类，检索，模式识别相关工作(bayes classifier is useful to image classify)
- 2011-01-11 16:59:14下载
- 积分：1
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New-Microsoft-Office-Word-Document
SOFTWARE ENGINEERING
- 2014-09-08 16:27:28下载
- 积分：1
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ApplicationImproved--r-Algorithm
粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )
- 2014-09-24 20:06:22下载
- 积分：1
