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
0 188
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

  • csm
    非相干子空间算法源程序(CSM)---这是一种宽带聚焦矩阵算法(Sub-space algorithm for non-coherent source (CSM)--- This is a broadband focused matrix algorithm)
    2021-04-18 22:48:51下载
    积分:1
  • BlindSignalDetectionforSpace2TimeBlockCodinginFreq
    频率选择性信道下空时分组码直接盲信号检测算法.(Frequency-selective channel under the direct space-time block codes blind signal detection algorithm.)
    2009-05-01 21:10:20下载
    积分:1
  • pso
    The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units
    2010-12-21 19:52:42下载
    积分:1
  • edge_detection
    用matlab程序实现:小波模极大值用于边缘提取。对matlab中常用的woman图进行仿真,从最后的结果仿真图看出模极大值用于边缘检测的作用。(Matlab procedures used to achieve: Wavelet Modulus Maxima for edge detection. Matlab commonly used on the woman plans to carry out simulation, simulation results from the final map that modulus maxima for the role of edge detection.)
    2008-06-25 08:10:32下载
    积分:1
  • Desktop
    这是柴油机故障诊断中,对振动信号进行的粒子滤波降噪处理的程序。(This is a diesel engine fault diagnosis procedures, particle filter noise vibration signal processing.)
    2020-07-03 22:00:01下载
    积分:1
  • UFLDL
    UFLDL作业,以下作业均已完整做好,build deep network,vectorization,softmax,working with large images,pca。(UFLDL,build deep network,vectorization,softmax,working with large images,pca)
    2014-12-11 19:51:44下载
    积分:1
  • Untitled2
    完成双目标定,利用标定参数校准源图像和目标图像,并计算得到其视差图(The binocular calibration is completed and the calibration parameters are used to calibrate the source image and the target image, and the parallax diagram is calculated.)
    2021-05-13 12:30:02下载
    积分:1
  • haha
    完成M=4正交信号的数字通信系统的蒙特卡罗仿真(The completion of M = 4 orthogonal signals in Monte-Carlo simulation of digital communication systems)
    2009-11-24 20:41:22下载
    积分:1
  • SatAttentuation
    A GUI software I made to calculate the carrier-to-noise-density ratio of a earth-satellite link.
    2013-02-25 14:26:46下载
    积分:1
  • rare2012
    Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
    2015-03-08 19:47:12下载
    积分:1
  • 696518资源总数
  • 106235会员总数
  • 12今日下载