introduces an idea (focusing) that is important to
resolve the indeterminacy inherent to multichannel blind deconvolution.
FBD is a deconvolution algorithm that
extracts sparse and front-loaded impulse responses from the channel outputs, i.e.,
their convolutions with a single arbitrary source.
This project also employs FBD to solve essential problems in both exploration and earthquake seismology.
In this context, FBD not only
outputs the subsurface Green’s function, which can be directly input to imaging,
but also helps us understand the noisy source characteristics.
Pawan is an assistant professor in the Center for Earth Sciences at the Indian Institute of Science (IISc). He enjoys developing novel algorithms related to geophysical inverse problems, signal processing and machine learning.