登录
首页 » matlab » SHMFunctions

SHMFunctions

于 2016-04-18 发布 文件大小:325KB
0 195
下载积分: 1 下载次数: 18

代码说明:

  美 Los Alamos实验室 结构健康监测SHM MATLAB工具包(Structural Health MOnitoring (SHM) MATLAB toolbox)

文件列表:

SHMFunctions
............\Auxiliary
............\.........\Plotting
............\.........\........\labelPlot_shm.m,1755,2014-05-31
............\.........\SensorSupport
............\.........\.............\OptimalSensorPlacement
............\.........\.............\......................\Geometry
............\.........\.............\......................\........\addResp2Geom_shm.m,2101,2014-05-31
............\.........\.............\......................\........\getElementCentroids_shm.m,1008,2014-05-31
............\.........\.............\......................\........\getSensorLayout_shm.m,1958,2014-05-31
............\.........\.............\......................\........\nodeElementPlot_shm.m,3859,2014-05-31
............\.........\.............\......................\........\responseInterp_shm.m,3689,2014-05-31
............\.........\.............\......................\OSP_FisherInfoEIV_shm.m,3848,2014-05-31
............\.........\.............\......................\OSP_MaxNorm_shm.m,5815,2014-05-31
............\.........\.............\SensorDiagnostic
............\.........\.............\................\sdAutoclassify_shm.m,5775,2014-05-31
............\.........\.............\................\sdFeature_shm.m,2648,2014-05-31
............\.........\.............\................\sdPlot_shm.m,5023,2014-05-31
............\DataAcquisition
............\...............\bandLimWhiteNoise_shm.m,1606,2014-05-31
............\...............\buildPairList_shm.m,1965,2014-05-31
............\...............\getGausModSin_shm.m,1929,2014-05-31
............\...............\NationalInstrumentsHighSpeed
............\...............\............................\niFgen.mdd,216037,2011-01-05
............\...............\............................\niScope.mdd,145746,2011-01-05
............\...............\............................\niSwitch.mdd,89139,2011-01-05
............\...............\............................\niTclk.mdd,1941,2011-01-05
............\...............\............................\NI_FGEN_InitConfig_shm.m,1816,2014-05-31
............\...............\............................\NI_FGEN_PrepWave_shm.m,1682,2014-05-31
............\...............\............................\NI_FGEN_SetOptions_shm.m,1929,2014-05-31
............\...............\............................\NI_multiplexSession_shm.m,3306,2014-05-31
............\...............\............................\NI_SCOPE_FetchWaves_shm.m,1670,2014-05-31
............\...............\............................\NI_SCOPE_InitConfig_shm.m,2190,2014-05-31
............\...............\............................\NI_SCOPE_SetOptions_shm.m,2209,2014-05-31
............\...............\............................\NI_SWITCH_Connect_shm.m,2432,2014-05-31
............\...............\............................\NI_SWITCH_Init_shm.m,1002,2014-05-31
............\...............\............................\NI_TCLK_SyncPrep_shm.m,2145,2014-05-31
............\...............\............................\NI_TCLK_Trigger_shm.m,770,2014-05-31
............\...............\splitData_shm.m,1826,2014-05-31
............\...............\Traditional
............\...............\...........\exciteAndAquire_shm.m,4002,2014-05-31
............\FeatureClassification
............\.....................\getThresholdChi2_shm.m,871,2014-05-31
............\.....................\OutlierDetection
............\.....................\................\AssembledDetectors
............\.....................\................\..................\Templates
............\.....................\................\..................\.........\trainBegin.txt,1921,2011-01-05
............\.....................\................\..................\.........\trainEnd.txt,1511,2011-01-05
............\.....................\................\..................\.........\trainMid.txt,449,2011-01-05
............\.....................\................\assembleOutlierDetector_shm.m,14193,2014-05-31
............\.....................\................\detectOutlier_shm.m,4774,2014-05-31
............\.....................\................\NonParametricDetectors
............\.....................\................\......................\FastMetricKernelEstimation
............\.....................\................\......................\..........................\buildCoverTree_shm.m,4739,2014-05-31
............\.....................\................\......................\..........................\DistanceMetrics
............\.....................\................\......................\..........................\...............\l2Dist_shm.m,1086,2014-05-31
............\.....................\................\......................\..........................\...............\lkDist_shm.m,1072,2014-05-31
............\.....................\................\......................\..........................\fastMetricKernelDensity_shm.m,4216,2014-05-31
............\.....................\................\......................\..........................\metricKernel_shm.m,1664,2014-05-31
............\.....................\................\......................\Kernels
............\.....................\................\......................\.......\cosineKernel_shm.m,1060,2014-05-31
............\.....................\................\......................\.......\epanechnikovKernel_shm.m,1069,2014-05-31
............\.....................\................\......................\.......\gaussianKernel_shm.m,1028,2014-05-31
............\.....................\................\......................\.......\quarticKernel_shm.m,1059,2014-05-31
............\.....................\................\......................\.......\triangleKernel_shm.m,1045,2014-05-31
............\.....................\................\......................\.......\triweightKernel_shm.m,1066,2014-05-31
............\.....................\................\......................\.......\uniformKernel_shm.m,1017,2014-05-31
............\.....................\................\......................\learnFastMetricKernelDensity_shm.m,3790,2014-05-31
............\.....................\................\......................\learnKernelDensity_shm.m,3155,2014-05-31
............\.....................\................\......................\learnNLPCA_shm.m,3955,2014-05-31
............\.....................\................\......................\scoreFastMetricKernelDensity_shm.m,1812,2014-05-31
............\.....................\................\......................\scoreKernelDensity_shm.m,1825,2014-05-31
............\.....................\................\......................\scoreNLPCA_shm.m,2545,2014-05-31
............\.....................\................\ParametricDetectors
............\.....................\................\...................\learnFactorAnalysis_shm.m,3903,2014-05-31
............\.....................\................\...................\learnMahalanobis_shm.m,1337,2014-05-31
............\.....................\................\...................\learnPCA_shm.m,2776,2014-05-31
............\.....................\................\...................\learnSVD_shm.m,2761,2014-05-31
............\.....................\................\...................\scoreFactorAnalysis_shm.m,3921,2014-05-31
............\.....................\................\...................\scoreMahalanobis_shm.m,1798,2014-05-31
............\.....................\................\...................\scorePCA_shm.m,2077,2014-05-31
............\.....................\................\...................\scoreSVD_shm.m,3095,2014-05-31
............\.....................\................\SAVEDIR
............\.....................\................\SemiParametricDetectors
............\.....................\................\.......................\learnGMMSemiParametricModel_shm.m,1348,2014-05-31
............\.....................\................\.......................\PartitioningAlgorithms
............\.....................\................\.......................\......................\kdTree_shm.m,3399,2014-05-31
............\.....................\................\.......................\......................\kMeans_shm.m,1261,2014-05-31
............\.....................\................\.......................\......................\kMedians_shm.m,1974,2014-05-31
............\.....................\................\.......................\......................\pdTree_shm.m,3044,2014-05-31
............\.....................\................\.......................\......................\rpTree_shm.m,2825,2014-05-31
............\.....................\................\.......................\scoreGMMSemiParametricModel_shm.m,1373,2014-05-31
............\.....................\................\.......................\Utilities
............\.....................\................\.......................\.........\learnGMM_shm.m,2195,2014-05-31
............\.....................\................\.......................\.........\scoreGMM_shm.m,1706,2014-05-31
............\.....................\................\trainOutlierDetector_shm.m,4320,2014-05-31
............\.....................\................\UseCaseWrappers
............\.....................\................\...............\detectorMultiSiteWrapper_shm.m,6291,2014-05-31
............\.....................\PCA_shm.m,3025,2014-05-31
............\.....................\plotROC_shm.m,4187,2014-05-31

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

  • still
    地球不转时的星下点轨迹,回归周期1天,可自行设定(Earth does not rotate when the nadir track one day return period)
    2013-07-19 15:04:50下载
    积分:1
  • proglat
    exercise for newbie matlab
    2013-09-24 21:49:41下载
    积分:1
  • QPSK_receiver
    QPSK软件接收机,对QPSK整个接收过程进行仿真,包括载频捕获、相位跟踪、滤波、判决等。(QPSK software receiver for receiving QPSK whole process simulation, including the carrier frequency acquisition, phase tracking, filtering, and other judgments.)
    2021-04-09 04:29:00下载
    积分:1
  • VCmatlab-engine
    说明:  VC++连接MATLAB,VC++连接MATLABVC++连接MATLAB,VC++连接MATLAB,VC++连接MATLAB,VC++连接MATLAB (VC++ to connect MATLAB, VC++ connection MATLABVC++ connection MATLAB, VC++ to connect MATLAB, VC++ to connect MATLAB, VC++ connection MATLAB)
    2011-03-16 23:09:59下载
    积分:1
  • gen_target
    说明:  用于实现对目标分配的遗传求解,源码是基于matlab的开发环境(used to achieve the goal of solving the genetic distribution, the source code is based on the Matlab development environment)
    2006-03-29 11:44:49下载
    积分:1
  • matlab_tongxin
    matlab通信与仿真,ppt,M脚本,不仅有ppt讲解,还有matlab代码示例(matlab communication and simulation, ppt, M script, not only to explain ppt, there are examples of matlab code)
    2010-11-15 16:35:44下载
    积分:1
  • Curve-and-multinomial-fitting
    说明:  曲线拟合和多项式拟合~~~~~~~~~~~~(Curve fitting and multinomial fitting)
    2011-04-13 13:26:17下载
    积分:1
  • FibreGrating
    FIBREGRATING Calculates the intensity distribution for FBG
    2010-05-21 02:18:22下载
    积分:1
  • BELLHOP_General_Description
    为感谢惠俊英老师的谆谆教诲,特为好奇诸君奉上水声物理--海洋传播声场模拟的一份武林秘籍! 当好奇诸君阅毕此卷,再对照轻松跑完六份作业(六路招式),即入“水声物理”之江湖! BELLHOP与AcousticsToolbox遵照GNU公共许可证进行分发。感谢Michael B. Porter对BELLHOP的原创,也感谢Orlando Camargo Rodríguez此份大道至简的入门秘籍。更感谢由Free Software凝聚起来的自由科学家社区。(Bellhop is a highly efficient ray tracing program, written in Fortran by Michael Porter as part of the Acoustic Toolbox (available at the website of the Ocean Acoustic Library). Bellhop is designed in order to perform two-dimensional acoustic ray tracing for a given sound speed profile c(z) or a given sound speed field c(r; z), in ocean waveguides with flat or variable absorbing boundaries. Output options include ray coordinates, travel time, amplitude, eigenrays, acoustic pressure or transmission loss (either coherent, incoherent or semi-coherent).)
    2021-04-27 11:38:44下载
    积分:1
  • gonglvpu
    给出了用MATLAB语言实现功率谱估计的程序,压缩包内还有原理说明(Given by MATLAB language to achieve power spectrum estimation procedure, there is the principle of compressed packets that)
    2008-02-12 18:00:54下载
    积分:1
  • 696516资源总数
  • 106918会员总数
  • 4今日下载