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parzen
分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)
- 2009-06-30 21:16:57下载
- 积分：1
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Bayes
This is a fast bayesian classifier.
- 2013-03-25 23:51:58下载
- 积分：1
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lianxuchaoliu1
连续潮流计算 对不同网络进行电压稳定极限分析(OPF calculation)
- 2020-12-28 14:09:02下载
- 积分：1
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LDPC--MA
介绍了ldpc码的发展概况，历程，各种编解码算法，对初学者有很大帮助(Describes the overview of the development ldpc code, course, a variety of codec algorithm, very helpful for beginners)
- 2013-09-22 19:31:06下载
- 积分：1
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Matlab_FE
MATLAB finite element code
- 2013-11-03 16:50:44下载
- 积分：1
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test3.m
常见canny, sobel 等算法的图像边缘检测比较(Edge Detection common canny, sobel algorithm comparison)
- 2014-07-27 17:44:03下载
- 积分：1
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bonesczq
干涉仪测向具有精度高、速度快的特点，在无源探测定位系统中具有广泛的应用。传统干涉仪依靠短基线保证无模糊测向范围，依靠长基线保证测向精度，采用整数阶基线比。该方法在宽带应用条件下难以实现，且对天线阵的安装位置非常敏感。本课题研究分数阶干涉仪测向的算法，同时实现宽带、高精度、无模糊的要求，并研究不同分数比、相位测量误差对测向精度的影响，进行仿真验证。
(interferometer is measured to high accuracy and fast, in the passive position detection system has wide application. Rely on traditional interferometer no guarantee short baseline measurement to the scope of fuzzy, relying on long baseline measurement to ensure accuracy, using integer band than the baseline. The method in broadband applications under difficult conditions and the right antenna installation location is very sensitive. The research fractional interferometer to test the algorithm, while achieving wide-band, high-precision, without ambiguity, and different than the scores, phase measurement error to the measurement accuracy of the impact simulation test.)
- 2020-06-30 21:00:02下载
- 积分：1
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problem1
MATLAB codes for Finite Element Analysis
problem1.m
antonio ferreira 2008
- 2013-10-01 18:58:53下载
- 积分：1
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primal_svm
Primal SVM code using the Lagrangian Theory
- 2011-06-27 11:07:29下载
- 积分：1
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yq
说明： 任何一个检测的信号都不可避免地受到干扰源的影响，脑电检测中的干扰源主要分为体内体外两大类。
体外干扰包括检测系统本身（如电极与头皮的接触阻抗的变化）、交流电源和环境中的电磁干扰源。把脑电图机的接地端与地线向量，并保持电极与头皮的良好接触，可以有效地抑制工频干扰。在电磁屏蔽室中进行脑电采集，能有效地避免环境中的电磁干扰。(eeg eog)
- 2015-03-31 14:55:52下载
- 积分：1
