登录
首页 » matlab » MFP_based_on_High_order_Statistics-master

MFP_based_on_High_order_Statistics-master

于 2020-10-28 发布
0 164
下载积分: 1 下载次数: 89

代码说明:

说明:  浅层海洋环境由信源组成声源,海洋形成信道,和水听器阵列组成接收器。在这个传播模型中,信源,信道和接收信号这三者,通常能知二求一,具体应用诸如利用海洋环境参数和接收到的信号来定位声源,或者通过计算发射信号和接收信号之间的差异,反演海洋环境参数。 而在接收器方面,我们通过设置各向同性的水听器阵列。通过算法和处理器,我们便能量化模型,传统是处理器主要基于接收信号是高斯信号,而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上,在海洋声层析成像的背景下,在信源与接收器阵列之间,引入信号的高阶统计量,对非高斯过程的水下信号源进行定位,并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点,滤去高斯有色噪声对信号的影响,其又包含了信号的相位信息,便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

文件列表:

MFP_based_on_High_order_Statistics-master, 0 , 2017-06-30
MFP_based_on_High_order_Statistics-master\100次结果.xlsx, 24142 , 2017-06-30
MFP_based_on_High_order_Statistics-master\LICENSE, 1067 , 2017-06-30
MFP_based_on_High_order_Statistics-master\README.md, 20260 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code, 0 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\.DS_Store, 6148 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\.prt, 122 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\101 501.fig, 1209394 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\3.mat, 11364 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\4.mat, 11364 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\BCImpedance.f90, 10031 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\BCImpedance.o, 15509 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\BCImpedancec.f90, 9665 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\BCImpedancec.o, 20871 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\Contents.m, 1371 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\ElementMod.f90, 616 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\ElementMod.o, 905 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\FGatten.m, 1050 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\InverseIterationMod.f90, 8070 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\InverseIterationMod.o, 16579 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\KrakenMod.f90, 1390 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\KrakenMod.o, 1941 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\KrakencMod.f90, 1370 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\KrakencMod.o, 1894 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\Makefile, 3160 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\PekerisRoot.f90, 630 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\PekerisRoot.m, 285 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\PekerisRoot.o, 1054 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\Pos2.m, 2202 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\RAMtoSHD.m, 2080 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\RAMtoSHD_Old.m, 1968 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\RootFinderSecantMod.f90, 4565 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\RootFinderSecantMod.o, 3088 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\SL.m, 577 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\VirTEX.m, 324 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\X.mat, 6313366 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\add_noise.m, 2527 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\addrednoise.m, 458 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\addrednoise2.m, 539 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\aggregator.m, 327 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\angles.m, 389 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\awgn2.m, 7447 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bbrun.m, 838 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\beamform.m, 835 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bellhop.m, 309 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bellhop3d.m, 321 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bounce.exe, 171728 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bounce.f90, 9310 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bounce.m, 303 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\bounce.o, 39990 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib.env, 8351 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib.flp, 8051 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib.mod, 144144 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib.prt, 2506 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib.ps, 9850 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_a.mat, 90777 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_a_cov.mat, 4192 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_b.mat, 91419 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_b_cov.mat, 4218 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_c.mat, 91759 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calib_c_cov.mat, 4228 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calibbart.ps, 80422 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calibcapon.ps, 75007 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\calibtl.ps, 40707 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\caxisrev.m, 173 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise.env, 4020 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise.flp, 3771 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise.mod, 53328 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise.prt, 3873 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise.ps, 12057 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_a.mat, 91063 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_a_cov.mat, 4192 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_b.mat, 91552 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_b_cov.mat, 4198 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_c.mat, 91843 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\colnoise_c_cov.mat, 4198 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\covar.f90, 8765 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\crci.m, 1368 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\delayandsum.m, 7091 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\edit_env_flp.m, 1205 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\elementmod.mod, 566 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluate.f90, 2787 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluate.o, 10005 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluate3d.f90, 14880 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluate3d.o, 22936 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatead.f90, 7052 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatead.o, 21565 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatecm.f90, 15042 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatecm.o, 37987 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluategb.f90, 14685 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluategb.o, 21590 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatepdq.f90, 5477 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evaluatepdq.o, 17751 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\evd.m, 619 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field.exe, 203389 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field.f90, 7555 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field.o, 21672 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field.prt, 1586 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field3d.exe, 198149 , 2017-06-30
MFP_based_on_High_order_Statistics-master\code\field3d.f90, 15489 , 2017-06-30

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • separate-ocean-and-land
    利用matlab判斷影像矩陣,利用近紅外光圖使海洋與陸地區分並找出海岸線(Judgment using matlab image matrix, using near-infrared light diagram of the marine and terrestrial distinguish and identify the coastline)
    2013-08-31 11:32:53下载
    积分:1
  • main
    自适应中值滤波程序,对于大部分图片都能使用。(Adaptive median filtering procedures, can be used for most of the pictures.)
    2015-03-22 22:08:30下载
    积分:1
  • NSGA_II
    NSGA_II多目标优化算法,用于工程优化计算,很好很强大(NSGA_II)
    2010-10-19 11:02:06下载
    积分:1
  • 91332001RayTrace1.1
    说明:  蒙特卡罗方法可以有效地解决复杂的工程问题,而MATLAB具有强大的数值计算功能。将二者结合使用,可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)
    2008-12-04 20:48:05下载
    积分:1
  • Signals-and-Systems-
    国外出名信号与系统在matlab中的运用书籍,本书涵盖了信号处理,通信工程,自动控制等相关科学的大部分基础知识与理论(Written for junior and senior electrical and computer engineering students, this text is an introduction to signal and system analysis, digital signal processing, and the design of analog and digital filters. The text also serves as a self-study guide for professionals who want to review the fundamentals. The expanded fifth edition contains additional information on window functions, the cross correlation and autocorrelation functions, a discussion on nonlinear systems including an example that derives its describing function, as well as additional end-of-chapter exercises.)
    2013-05-08 20:18:01下载
    积分:1
  • The Dynamics of Crowds
    包含代码的基于元胞自动机的人员疏散对冲模拟文章(Cellular Automata-based Room Evacuation Simulation Paper with Code)
    2021-01-27 16:48:41下载
    积分:1
  • zijiaozheng
    说明:  自适应里面的自校正算法,根据最小二乘递归算法实现自校正控制(Adaptive self-tuning algorithm which, according to the recursive least squares algorithm for adaptive control)
    2010-04-08 17:28:56下载
    积分:1
  • SVDAND_PCA
    奇异值与主成分分析(PCA)的介绍,比较简明易懂,对初学人大有帮助(SVDAND PCA,HOPE TO HELP YOU,IF YOU HAVE SOME QUESTION ASK ME)
    2012-07-27 10:44:01下载
    积分:1
  • Rivermodel
    数模源程序,港口模拟源程序,正在学数模的可以下载,到时直接应用,或者借鉴。。。(Digital-analog source, port analog source, is learning digital-analog can be downloaded, when applied directly, or draw. . .)
    2011-08-23 19:14:04下载
    积分:1
  • qpsk_berest
    qpsk_berest
    2011-11-27 23:13:10下载
    积分:1
  • 696518资源总数
  • 105540会员总数
  • 37今日下载