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MobileNet-SSD-master
说明: 深度学习网络产生两个txt文件分别为测试数据特征提取结果与标签结果,提取两个文件内容并按行绘制平方损失函数图(The deep learning network generates two TXT files, which are the result of feature extraction and label extraction of test data, and extracts the contents of the two files and draws the square loss function graph according to the line.)
- 2019-04-24 14:57:18下载
- 积分:1
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FCDFDL-master
基于Fisher判据的判别式面向特征的字典学习方法用于组织病理图像分类(Discriminant feature oriented dictionary learning method based on Fisher criterion for histopathological image classification)
- 2018-01-30 10:53:39下载
- 积分:1
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can_test
说明: 实现DSP28335的ECAN通信,CANA发送,CANB接收(Can communication of DSP28335)
- 2021-01-25 08:46:03下载
- 积分:1
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OFDM
说明: 详细的OFDM设计过程,包括Matlab仿真、DSP源码及文档说明。
OFDM(正交频分复用)技术实际上是MCM(Multi-Carrier Modulation,多载波调制)的一种。(OFDM detailed design process, including the Matlab simulation, DSP source code and documentation. OFDM (Orthogonal Frequency Division Multiplexing) technology is actually MCM (Multi-Carrier Modulation, multi-carrier modulation) is.)
- 2008-10-11 22:45:00下载
- 积分:1
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OPTISYSTEM+MATLAB
optisystem与MATLAB之间的联合编程(the link of optisystem and matlab)
- 2021-03-29 11:09:11下载
- 积分:1
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GPS_INS位置组合程序——好
用于惯导卫星导航组合松组合程序,有实际的采集数据(INS/GPS this is a program than INS/GNSS integrated)
- 2018-02-28 16:18:19下载
- 积分:1
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pem
应用虚拟激励法和振型分解反应谱法分析不同的结构,很有用(Application of pseudo excitation method and mode decomposition response spectrum method)
- 2018-04-25 15:51:58下载
- 积分:1
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siaodaoseng
这是一种画翼型的方法。西奥道森方法画翼型,该方法画的翼型准确。(a code used to plot airfoil!)
- 2009-07-04 11:19:15下载
- 积分:1
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Kriging
Kriging 算法的实现程序包,matlab代码,简洁实用(Kriging algarith)
- 2009-10-22 20:16:29下载
- 积分:1
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第一次作业_基于分类算法的雷达状态识别
说明: 第一次作业_基于分类算法的雷达状态识别
对于本数据集中的雷达状态识别,数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响;数据降维后使用神经网络算法最优,支持向量机算法其次,朴素贝叶斯算法较差。此外,训练样本越多,分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)
- 2019-04-03 08:54:04下载
- 积分:1