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
0 190
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

  • 8PSK
    本程序实现对随机信号的8PSK调制,程序里面有详细注释,很容易换成想要信号的8PSK调制,欢迎下载。(This program implements the random signal 8PSK modulation, which has detailed program notes, easily replaced want 8PSK modulation signal, welcome to download.)
    2014-12-06 12:04:44下载
    积分:1
  • alamouti-code
    16qam simulink ser mimo one of the receive chains fail, and the other receive chain is operational, then the performance loss is on the order of the diversity gain. In other words, the signal may still be detected, but with inferior quality. This is commonly referred to as soft failure. Fortunately, the new transmit diversity scheme provides the same soft failure. To
    2015-03-06 22:12:12下载
    积分:1
  • 用遗传算法改进粒子群GA-PSO算法
    本算法为用遗传算法改进粒子群GA-PSO算法,附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)
    2021-01-08 09:48:51下载
    积分:1
  • fileter
    三种简单的图像滤波 均值滤波 中值滤波 和winner滤波(image filter)
    2012-03-08 15:43:50下载
    积分:1
  • load-forecasting
    Matlab基于Elman神经网络的电力负荷预测模型研究(Matlab-based Elman neural network model for load forecasting)
    2011-05-28 12:56:44下载
    积分:1
  • AGA-BP
    改进的自适应遗传算法与BP算法结合算法的整套算法及子程序(Improved adaptive genetic algorithm combined with BP algorithm algorithm set of algorithms and subroutines)
    2012-09-30 19:05:34下载
    积分:1
  • XXDS_MATLAB
    用MATLAB程序解决高阶问题;通过20多个实例来说明线性代数在后续课和工程中的广泛应用,使得本来抽象、冗繁和枯燥的课程变得形象、简明而实用。(MATLAB program used to solve high-order problems through more than 20 examples to illustrate the linear algebra classes in the follow-up and engineering in a wide range of applications have been made abstract, and boring冗繁become the image of course, concise and practical.)
    2007-12-19 16:33:30下载
    积分:1
  • multiwavelet
    小波变换的MATLAB实现 几个用MATLAB编写的小波变换示例(multiwavelet)
    2009-09-06 07:21:29下载
    积分:1
  • YALMIP
    YALMIP,用于求解整数规划,主要思想为分支界定,效率和功能都比较好(YALMIP, for solving integer programming, the main idea of ​ ​ the branch and bound, efficiency and function are better)
    2012-04-30 18:50:42下载
    积分:1
  • GA
    说明:  GA algorithm of Machine Learning
    2011-07-07 10:56:47下载
    积分:1
  • 696518资源总数
  • 106242会员总数
  • 10今日下载