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mas

于 2010-03-31 发布 文件大小:53KB
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代码说明:

  disription of DTC command

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  • SA
    说明:  模拟退火算法的MATLAB实现,通过赋予搜索过程一种时变且最终趋于零的概率突跳性,从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。(MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively avoid local minima and ultimately global optimization algorithm has been optimized serial structure.)
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  • Goldbach
    歌德巴赫猜想验证工具,附质数库以及质数生成器。(Goldbach conjecture verification tools, with the Treasury and the prime number prime number generator.)
    2009-07-05 09:51:38下载
    积分:1
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    16QAM预失真 通过信道 及附加白噪声(16QAM pre-distortion by the channel)
    2010-03-07 17:41:07下载
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    2010-05-15 10:08:01下载
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    近年来,盲源分离技术成为研究热点。这是盲源分离技术的JADE算法,十分经典哦(In recent years, blind source separation technique to become a research hotspot. This is the JADE algorithm for blind source separation, very classic!)
    2012-06-16 10:58:49下载
    积分:1
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    Python Matlab Converter, version 2.2 Runs in Python
    2014-08-08 18:39:05下载
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    2014-11-26 22:08:14下载
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  • texture-analysis-using-dwt-for-grape-plant-specie
    Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency
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  • Implementing_Filtering
    该代码实现了图像的滤波处理,这段代码给出了三种滤波矩阵,包括图像平滑(低通滤波器)、图像边缘提取(高通滤波器)等。用户下载后可以根据自己需要修改滤波矩阵和参数值,以便实现特殊的功能。为了形象的说明滤波效果,代码执行后可以看到滤波前后滤波后的对比图像。 (The code of the image filter processing, the code shows the three filter matrix, including the smoothing (low pass filter), image edge detection (high-pass filter) and so on. Users can download their own need to modify the filter matrix and the parameter values in order to achieve a specific function. Filtering effect to the image description, code execution before and after filtering can be seen after comparison of the filtered images.)
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