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CHAPTER4
刘金坤先进PID控制第二版第四章的仿真程序(Advanced PID control刘金坤Chapter IV of the second edition of the simulation program)
- 2009-03-08 16:30:46下载
- 积分：1
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Code
matlab与亚当慕斯公式结合解决运输问题！(matlab)
- 2009-06-09 14:39:32下载
- 积分：1
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Monte-Carlo
Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)
- 2012-05-12 22:18:55下载
- 积分：1
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EMD
内含两篇期刊文章，对EMD边界效应的探讨(Contains two journal articles, explore the boundary effect on EMD)
- 2014-10-15 10:16:46下载
- 积分：1
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rgb_hormomorphic
使用MATLAB对RGB图像进行同态滤波，滤波函数选用高斯滤波器和Logistic曲线(Selection of Gaussian filter using MATLAB RGB image homomorphic filtering, filtering function and Logistic curve)
- 2013-04-26 20:41:31下载
- 积分：1
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IIRFILTERv1.01
常用IIR语音信号处理器v1.01,可变参数的四种滤波器，实现高通，低通，带通，带阻滤波。(IIR filter)
- 2013-11-10 13:49:46下载
- 积分：1
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各种经典制导律matlab程序
各种经典制导律matlab程序，不错的学习参考资料(Matlab program of classical guidance law, good learning reference)
- 2011-06-21 10:27:51下载
- 积分：1
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ins
比较全的捷联惯导程序，并且利用数据库存储陀螺和加速度输出，比较简便，经典的惯导程序(Compare the whole of the SINS program, and use the database to store the gyro and accelerometer output is relatively simple and classic INS procedures)
- 2012-07-09 21:42:26下载
- 积分：1
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fastL11
It is about soving sparse solution from linear system, simpel and fast.
- 2009-05-12 02:10:11下载
- 积分：1
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compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分：1
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