A very interesting thing I re-discovered today is the angular wavenumber. Although it seems like I had understood that pretty well long back, I had forgotten quite some things about it.

The rumination came from my continuous learning process of Fourier Transform. While I seem to have gotten a hang of temporal Fourier transform, spacial transform just wasn’t becoming that obvious to me. I have summarised Fourier transform here.

Basics

“In the physical sciences, the wavenumber (also wave number) is the spatial frequency of a wave, either in cycles per unit distance or radians per unit distance. It can be envisaged as the number of waves that exist over a specified distance (analogous to frequency being the number of cycles or radians per unit time).” -wikipedia

Wavenumber in imaging

In temporal FT every signal is decomposed into monochromatic signals of different amplitudes and phase (that add up to give the signal). Similarly spacial FT decomposes a signal into its constituent plane wave sinusoids.

Now there is a big significance of decomposing a signal in its constituent wavenumbers, one of the biggest one is that energy travelling in plane wave stays preserved in depth make propagation operators computationally less complicated to use.

I am currently working as a PhD researcher in Delft University of Technology at the Delphi consortium. I use Acoustic wavefield Imaging, specifically seismic wavefield to image the subsurface of the earth. I have been developing imaging methods that use `multiple wavefields' to push the limits of conventional imaging methods.
I am passionate about physics, educational reforms, art and music.
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