with Python Applications
TABLE OF CONTENTS
-
SYLLABUS
- Week-1_Introduction to Seismic Signal Prcessing
- Week-2_Seismic Theory : A Necessery Backround
- Week-3_Python Fundamentals : Basic tools
- Week-4_Seismic Event Characteristics and Accompanying Noise
- Week-5_Spectral Analysis of Seismic Data and Useful Transforms (z-Transform, Fourier, Discrete Time)
- Week-6_Sampling Theorem for Seismic Data (Alias, FIR filter, 2D filters)
- Week-7_Seismic Wavelet Processing
- Week-8_Curve Fitting and Outlier Detection
- Week-9_Statistics (Regression Analysis) (Homework 1)
- Week-10_Spectral Analysis (Homework 2)
- Week-11_Denoising Seismic Signal (Homework 3)
- Week-12_Time Series Filtering (Homework 4)
- Week-13_Interpolation and Extrapolation (Homework 5)
- Week-14_Animate Data (Homework 6)
-
Installation
-
[PYTHON ](https://www.python.org/downloads/)
Attend to Slack App; an informal platform for Q/A discussions about SSP and more.
Ahu Kömeç Mutlu 😃 @komec

