搜索资源列表
ricker
- 探地雷达正演模拟激励源雷克子波的合成matlab源代码-The matlab code for GPR forword modeling of Ricker wavelet
Three-dimensional
- 实现探地雷达三维数据的三维可视化显示，可以显示成三维图形，并对其做时变增益，显示雷达波探测到的目标体的位置和形状。-GPR 3D data visualization, it can be shown as three-dimensional graphics, and its time-varying gain to do to show detected radar target position and shape of body.
MATGPR_R2
- 探地雷达信号处理、反演与建模应用程序，基于matlab-This is the MATGPR GUI， Initializes work variables and sets up the interface for GPR data processing and interpretation with the MATGPR system
GPR
- 介绍探地雷达的信号处理 特别是对公路检测方面有参考价值-GPR usage
gpr
- gpr matlab code for sfcw in gpr gpr has a good performance with sfcw-gpr matlab code for sfcw in gpr gpr has a good performance with sfcw
angle2
- Gpr new transmiter for better detection
GPR-signal-Feature-extraction
- 关于探地雷达回波信号的特征提取和分类方法研究-About GPR echo signal feature extraction, classification and research methods
gpr-sumlation
- 模拟GPR波形，具有高效仿真作用，适用于探地转达方面。-simulation of ground penetrating radar in 2D
YP000000pre4
- gpr数据处理；地震数据处理；matlab平台及多平台开发。(GPR data processing, seisimic data processing and multi-language coding.)
GPR-O-master
- github上找到的高斯过程回归的一个例子。(An example of the Gauss process regress found on GitHub.)
MATLAB-GPR-master
- GPtuff上的非常好用的关于高斯过程回归的代码资料。(GPtuff's compression package for the Gauss process regression is very good.)
python-gpr-master
- github上的非常好用的关于高斯过程回归的python代码，非常好用。(GitHub is a very good code for the Gauss process regression.)
multigp-master
- 高斯过程多输出，有很多的例子。包括回归、分类等(GPR multiple output)
GPR_ wiggle_plot.m
- wiggle plot of gpr data
FDTD_CPML_3D
- 是关于GPR正演模拟的FDTD-3D算法，加载完全匹配层吸收条件。。(It is the FDTD-3D algorithm for GPR forward modeling, loading the perfectly matched layer absorbing condition.)
berenger_PML
- 是关于GPR正演模拟的FDTD-3D算法，加载BPML完全匹配层吸收条件。。(It is the FDTD-3D algorithm for GPR forward modeling, loading the BPMLperfectly matched layer absorbing condition.)
FDTD_2D_CPML_S2
- 是关于GPR正演模拟的FDTD-2D算法，加载完全匹配层吸收条件。。(It is the FDTD-2D algorithm for GPR forward modeling, loading the perfectly matched layer absorbing condition.)
FDTD_UPML_3D
- 是关于GPR正演模拟的FDTD-3D算法，加载UPML匹配层吸收条件。激励源是雷克子波(It is the FDTD-3D algorithm for GPR forward modeling, loading the UPML perfectly matched layer absorbing condition.)
GPR based on GPML-V4.1
- 基于 gpml-matlab-v4.1 工具箱，简单实现了高斯过程回归（Gaussian process regression，GPR）的多变量数据回归，给出了每个预测值的均值以及对应的方差。代码有详细的注释，附有训练数据和测试数据。(Based on the gpml-matlab-v4.1 toolbox, Gaussian process regression (GPR) multivariate data regression is simply implemented, and the
FDTD-algorithm-GPR-master
- gpr algoritm from FTFD perspertive