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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 文件大小:363KB
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下载积分: 1 下载次数: 14

代码说明:

  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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    請用星號( )排列出下列的 p箭 星號 D案,輸入 Y料 ne txt中的第一行為箭 的上下高度(必為奇數),第二行為 D案的總寬度()
    2018-05-28 18:54:24下载
    积分:1
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    2018-09-11 21:57:11下载
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    判断链表中是否有循环 有的话,按序打印一次(To determine if there is a loop in the list, print it in sequence)
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    资源描述决策树是建立在信息论基础之上,对数据进行分类挖掘的一种方法。其思想是,通过一批已知的训练数据建立一棵决策树,然后利用建好的决策树,对数据进行预测。决策树的建立过程可以看成是数据规则的生成过程。由于基于决策树的分类方法结构简单,本身就是人们能够理解的规则。其次,决策树方法计算复杂度不大,分类效率高,能够处理大数据量的训练集;最后,决策树方法的分类精度较高,对噪声数据有较好的健壮性,符合一般系统的要求。
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