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taylortdoainit
定位算法中泰勒级数迭代，其是以最小二乘法为初值的算法(Taylor series iterative positioning algorithm, which is based on least squares algorithm for the initial value)
- 2010-02-09 11:06:50下载
- 积分：1
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siftDemoV4
通过sift算子，实现两幅图像的快速、精准匹配，效果较好(Sift operator, two images fast, accurate matching, better)
- 2013-04-17 21:17:36下载
- 积分：1
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svmTrain2
局部化的支持向量机（LSVR）训练内核函数(function for LSVR(localized support vector regression) training)
- 2010-09-19 20:31:00下载
- 积分：1
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2fsk
2FSK频率选择法调制及相关检测、包络检测的matlab程序，供仿真参考(2FSK modulation frequency selection method and related testing, envelope detection matlab program for the simulation of reference)
- 2013-10-29 20:14:44下载
- 积分：1
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KLMS
此文件是Weifeng Liu等编著《Kernel Adaptive Filtering A Comprehensive Introduction》一书的源代码。对应书上每一章节。是学习Kernel adaptive filter的不二选择。(This document is the source code of Liu Weifeng, a compiled book book that corresponds to each chapter. Learning kernel adaptive filter of choice.)
- 2016-05-06 20:26:39下载
- 积分：1
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PSO-SVM
说明： 粒子群算法优化支持向量机，优化过后很好用，准确率很明显(Particle swarm optimization for support vector machines)
- 2021-01-05 21:13:29下载
- 积分：1
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cuckoo_search_new2013
cuckoo_search_new algorithm.it use for find short path problem
- 2014-10-30 01:59:43下载
- 积分：1
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BP-neural-network
BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。(BP network can learn and store a lot of input- output model mapping, without prior reveal describe the mathematical equations of the mapping relationship.)
- 2014-11-18 13:38:13下载
- 积分：1
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PerceptronXOR
利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)
- 2015-03-17 18:20:18下载
- 积分：1
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model-of-antenna
针对天线阵列，偶极子等天线模式的仿真程序，可以调节波长，倾角等参数，并能画出二维和三维的图像，希望能够对大家有所帮助(For antenna array, such as dipole antenna pattern simulation program, you can adjust the wavelength, inclination and other parameters, and can draw two-dimensional and three-dimensional images)
- 2015-04-14 17:00:14下载
- 积分：1
