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Multidimensional_filtering_of_seismic_data
- 这是一个地震数据多尺度分析和处理的文章.内容相当丰富,不仅仅增加地质方面的知识,更重要的是可以学到很多数据处理和小波分析方面的知识.-This is a multi-scale seismic data analysis and processing of the article. Fairly rich, is not only increasing geological knowledge, the more important it is to learn a lot of data pr
Signal_and_noise_stimation_from_seismic_reflection
- 这是一个地震反射数据分析和处理的文章.尤其是对于噪声的处理内容相当丰富,不仅仅增加地质方面的知识,更重要的是可以学到很多数据处理和小波分析方面的知识.-This is a seismic reflection data analysis and processing of the article. Especially for the handling of noise as quite rich, is not only increasing geological knowledge, the
data
- 数字信号处理的Matlab实现的随书光盘，有时谱分析、小波变化、地震观测系统仿真与地面运动恢复等几个数字信号前沿课题，有实用价值
match_fitting
- 由本人自己编程实现的匹配拟合方法，是基于最小二乘法的拟合，可以很好的拟合地震数据，提取子波
wave
- 一个生成一个地震道的小程序，输入各层的数据，能得到反射波。使用的子波时rick子波-a seismic reflection cod pro
SeismicLab
- 地震软件包，包括时域反褶积和小波估计，码/移相移相算法等-seisLab,include time domain deconvolution and wavelet estimation./codes/dephasing: Dephasing algorithm
haarqz
- 基于haar小波对模拟地震信号进行滤波的MATLAB实现-Haar wavelet filtering analog seismic signals MATLAB implementation
wavelet-analysis-important
- 小波变换是一种非常重要的时频分析方法，研究小波变换对于地震处理研究有着非常重要的作用-Wavelet transform is a important tool for time-frequency,which plays an important part in the seismic processing.
shiyan_1
- 在matlab中利用雷克子波应用褶积公式合成一维地震记录，同时对比零相位和最小相位雷克子波的效果-Synthesis of one-dimensional seismic records in matlab using the Ricker wavelet applications convolution formula
LeiKeZiBo
- 石油地震处理中雷克子波的一个小的处理方法，专业性比较强，但是代码很简单-A small earthquake in oil Ricker wave processing method, relatively strong professional, but the code is very simple
wavelet-transform
- 一维小波变换对信号进行去噪，小波包变换，对地震记录进行去噪-A one-dimensional wavelet transform for signal denoising, wavelet packet transform, the noise of seismic record
waveletdenoise
- 用于模拟微地震信号去噪，采用小波分析，构建窗函数。在压制噪声这块效果非常明显(For the simulation of microseismic signal denoising, wavelet analysis is used to construct window functions. The effect is very obvious in suppressing noise)
fenpin
- 通过小波变换理论，将地震加速度分解为互不重叠的不同频段的小波分量(Based on the theory of wavelet transform, the seismic acceleration is decomposed into non overlapping wavelet components of different frequency bands.)
testTfrstft
- 建立简单的层状模型，共三层，褶积合成地震记录，使得数据随机缺失30%，分别用傅里叶变换、短时傅里叶变换、s变换、小波变换对地震数据进行时频分析。(A simple layered model with three layers and convolution synthetic seismogram is established. The data are randomly missing by 30%. Time-frequency analysis of seismic data is ca