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matlab
说明： matlab课件及程序例讲解以及matlab算法实例文件（PDF)格式(courseware and procedures matlab matlab algorithm cases and practical examples to explain (PDF) format)
- 2011-03-24 21:46:33下载
- 积分：1
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cpp-primer-code
cpp-primer-code预编码，仅供参考(cpp-primer-code pre-coding, for reference only)
- 2009-01-21 08:19:42下载
- 积分：1
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CSA
cuda代码，实现合成孔径雷达CSA算法，点目标仿真(c++ code that implements the algorithm of synthetic aperture radar CSA, point target simulation)
- 2015-10-29 22:18:48下载
- 积分：1
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hadi-alizade
this is a new alghorithm about tabu search....
- 2013-05-26 16:47:20下载
- 积分：1
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denoise_waverec-(2)
计算损伤结构前后的响应，对已结构的分析具有很好的效果(After calculating the response of the structure damage, the structure analysis of a good effect)
- 2013-10-26 09:49:04下载
- 积分：1
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face
本程序是运用SVM来实现人脸识别算法，能直接运行且能进行二次开发(This procedure is to use SVM to implement face recognition algorithm that can run directly and can perform a secondary development)
- 2014-02-18 21:17:44下载
- 积分：1
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FCMandCFCM
说明： FCM算法是应用最广泛的聚类分析方法之一，CFCM也是模糊数学中的一种聚类分析算法。
现在给出的这两个算法是C++代码实现的。 (FCM algorithm is the most widely used method of cluster analysis, CFCM is a kind of fuzzy clustering analysis in the algorithm. Now given by the two algorithms is the C++ code to achieve.)
- 2009-07-27 17:03:28下载
- 积分：1
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GPCgoodDoc
广义预测控制算法非常详细仿真matlab(GPC matlab codes )
- 2016-06-02 19:44:55下载
- 积分：1
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chazhinihe
matlab的经典算法--用于各种插值与拟合(matlab classical algorithm- interpolation and fitting)
- 2010-01-29 10:24:45下载
- 积分：1
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levinson
图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
2）横向/格-梯型结构RLS算法
并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response:
Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate):
1) landscape/grid- LMS algorithm ladder structure
2) landscape/grid- RLS algorithm ladder structure
And analyze the results.)
- 2020-07-02 22:40:01下载
- 积分：1
