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雷达matlab仿真,波束形成,角度测量,跟踪等等

于 2021-02-19 发布
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下载积分: 1 下载次数: 25

代码说明:

说明:  波形设计算法,阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)

文件列表:

23\angle_delta.m, 2196 , 2014-05-15
23\angle_k.m, 3591 , 2014-05-19
23\angle_k2.m, 1322 , 2014-04-21
23\data_Position_RMSE_5261942.xls, 16896 , 2014-05-26
23\data_Position_RMSE_5261945.xls, 16896 , 2014-05-26
23\data_Position_RMSE_5261946.xls, 16896 , 2014-05-26
23\data_Position_RMSE_5261953.xls, 108544 , 2014-05-26
23\data_Position_RMSE_526202.xls, 79872 , 1990-05-29
23\data_Position_RMSE_5291628.xls, 57856 , 2014-05-29
23\data_Position_RMSE_529165.xls, 57856 , 2014-05-29
23\data_Position_RMSE_731017.xls, 62976 , 2014-07-03
23\data_Position_RMSE_731714.xls, 62976 , 2014-07-04
23\data_Position_RMSE_741136.xls, 62976 , 2014-07-06
23\data_Position_RMSE_74842.xls, 62976 , 2014-07-04
23\data_SNR_RMSE.xls, 17920 , 2014-05-16
23\data_SNR_RMSE_0519.xls, 17920 , 2014-05-19
23\data_SNR_RMSE_0520.xls, 17920 , 2014-05-20
23\data_SNR_RMSE_0520_a.xls, 17920 , 2014-05-21
23\data_SNR_RMSE_0520_b.xls, 17920 , 2014-05-22
23\data_SNR_RMSE_52216.xls, 17920 , 2014-05-22
23\data_SNR_RMSE_52616.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261643.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261649.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261652.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261655.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261659.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261713.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261716.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261719.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526172.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261723.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261726.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261729.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261733.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261736.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261739.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261743.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261746.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261749.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261753.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261756.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261759.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526176.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526179.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261813.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261816.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261819.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5261823.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526183.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526186.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_526189.xls, 17920 , 2014-05-26
23\data_SNR_RMSE_5291713.xls, 17920 , 2014-05-29
23\data_SNR_RMSE_5291717.xls, 17920 , 2014-05-29
23\data_SNR_RMSE_5291725.xls, 17920 , 2014-05-29
23\dbf_test_1.mat, 451 , 2014-06-16
23\dbf_test_2.mat, 453 , 2014-06-16
23\dbf_test_3.mat, 452 , 2014-06-16
23\Echo_MIMO_PCM.m, 3714 , 2014-04-30
23\echo_pa_hf.m, 7554 , 2014-04-28
23\echo_pcm_static.m, 1786 , 2014-04-21
23\error_alphar2013.m, 5125 , 2014-06-16
23\error_alphat2013.m, 3312 , 2013-06-07
23\error_angle.m, 367 , 2013-06-02
23\error_d.m, 3963 , 2014-06-16
23\error_d2013.m, 6414 , 2014-04-09
23\error_v2013.m, 4177 , 2013-06-08
23\gen_base.m, 2497 , 2014-04-18
23\Gen_st_vector0506.m, 1725 , 2014-04-28
23\Gen_st_vector0524.m, 2123 , 2014-04-28
23\Gen_st_vector_cs.m, 2139 , 2014-05-14
23\hs_err_pid5552.log, 23348 , 1990-05-29
23\main_23.m, 57186 , 2014-06-16
23\main_23_0616.m, 60040 , 2014-07-04
23\matching10.m, 1198 , 2013-06-02
23\matching10_2013.m, 469 , 2014-05-13
23\monoPA.m, 1243 , 2014-05-30
23\monopulse_vec.m, 868 , 2014-05-15
23\multi_par.m, 3395 , 2014-05-30
23\mydata.xls, 17408 , 2014-04-30
23\papc-16-128.mat, 275 , 2013-06-02
23\papc-16-256.mat, 352 , 2013-04-18
23\rdbf.m, 1219 , 2014-06-16
23\rExtract1.m, 594 , 2014-06-16
23\rExtract2.m, 294 , 2013-06-02
23\rExtract20130526.m, 595 , 2013-06-07
23\sigma_thetar.m, 0 , 2014-05-20
23\SNR_RMSE0507.fig, 2702 , 2014-05-07
23\sypc-16-1024.mat, 3583 , 2013-06-02
23\sypc-16-2048.mat, 6959 , 2013-06-02
23\sypc-16-256.mat, 1060 , 2013-06-02
23\Target_Echo_PCM.m, 5266 , 2014-04-21
23\testdata2.xls, 16896 , 2014-04-30
23\transmit_2013.m, 2401 , 2014-05-14
23\t_mtd.m, 707 , 2014-06-16
23, 0 , 2014-07-06

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  • LZYSAD
    雷达数据处理的重要模型算法之一,该代码对imm算法的不同参数下进行了详细的仿真,(One of the important model algorithms for radar data processing, the code simulates the IMM algorithm in detail under different parameters.)
    2018-09-06 13:02:17下载
    积分:1
  • 文本分类(采用Java语言)
    资源描述利用分类算法实现对文本的数据挖掘,主要包括: 1. 语料库的构建,主要包括利用爬虫收集Web文档等; 2. 语料库的数据预处理,包括文档建模,如去噪,分词,建立数据字典, 使用词袋模型或主题模型表达文档等; 注:使用主题模型,如LDA可以获得实验加分; 3. 选择分类算法(如朴素贝叶斯、SVM等),训练文本分类器,理解所选 的分类算法的建模原理、实现过程和相关参数的含义; 4. 对测试集的文本进行分类 5. 对测试集的分类结果利用正确率和召回率进行分析评价。 
    2022-02-13 04:15:07下载
    积分:1
  • MqnieCarlo
    MonteCarlo仿真的C++源码,具有参考价值(C source code of MonteCarlo simulation, which has reference value)
    2018-08-03 21:25:08下载
    积分:1
  • 关于大的相关论文
    关于大数据的论文,对稀疏表示分类有很大的帮助,希望对初学者哟帮助
    2022-02-06 00:21:30下载
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    说明:  深度学习框架Keras入门资料,里面的代码包括课件和DEMO有利于新书入门学习,简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)
    2020-06-17 17:00:01下载
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    这段代码是层次聚类的Matlab实现代码( This code is hierarchical clustering Matlab implementation code)
    2016-10-16 10:43:09下载
    积分:1
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    频繁子图挖掘算法pafi1.0.1.zip,频繁子图挖掘算法采用c++实现,图数据挖掘方向的可以看一看。
    2022-01-21 02:32:05下载
    积分:1
  • Python预处理
    Python数据预处理示例,包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
    2020-09-17 14:07:54下载
    积分:1
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    使用python实现谱减法对语音的降噪功能,代码包括语音的读取、降噪、输出保存(Spectral subtraction speech noise reduction python code)
    2018-06-27 17:22:04下载
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    用Apriori算法挖掘出入侵检测数据集KDD99的数据关联性,从而检测出未知的攻击(Apriori algorithm is used to extract the data association of the intrusion detection data set KDD99, and the unknown attack is detected)
    2021-04-21 21:58:49下载
    积分:1
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