Live briefing
Everything about Multidimensional seismic data processing
Multidimensional seismic data processing forms a major component of seismic profiling, a technique used in geophysical exploration. The technique itself has various applications, including mapping ocean floors, determining the structure of sediments, mapping subsurface currents and hydrocarbon exploration. Since geophysical data obtained in such techniques is a function of both space and time, multidimensional signal processing techniques may be better suited for processing such data. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Multidimensional seismic data processingA 5-minute orientation
- Pick up a classic book: ICTE 2015The most-reprinted book on the subject
- Read the landmark paper: Multidimensional deconvolution and processing of seismic-interferometry Arctic dataCited 9 times
- Go sideways: Fourier opticsA closely related topic
- Go sideways: Transfer functionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
📚 Books worth reading
- 📕ICTE 2015China) International Conference On Transportation Engineering (5th 2015 Dalian Shi · 2015
- 📕Tech15projects.com · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Fourier optics Fourier optics is the study of classical optics using Fourier transforms (FTs), in which the waveform being considered is regarded as made up of a combination…
- Transfer function In engineering, a transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function…
- Multidimensional sampling In digital signal processing, multidimensional sampling is the process of converting a function of a multidimensional variable into a discrete collection…
- Fokas method The Fokas method, or unified transform, is an algorithmic procedure for analysing boundary value problems for linear partial differential equations and…
- Weierstrass elliptic function In mathematics, the Weierstrass elliptic functions are elliptic functions that take a particularly simple form. They are named for Karl Weierstrass. This…
- Wiener filter In signal processing, the Wiener filter (named after Norbert Wiener) is a filter used to produce an estimate of a desired or target random process by linear…
- Tau function (integrable systems) Tau functions are an important ingredient in the modern mathematical theory of integrable systems, and have numerous applications in a variety of other…
- Cyclostationary process A cyclostationary process is a signal having statistical properties that vary cyclically with time. A cyclostationary process can be viewed as multiple…