Iterative Deblending of off-the-Grid Simultaneous Source Data

Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization

We introduce a novel iterative estimation scheme for separation of blended seismic data from simultaneous sources. The scheme is based on an augmented estimation problem, which can be solved by iteratively constraining the deblended data using shaping regularization in the seislet domain. We formulate the forward modeling operator in the common receiver domain, where two sources are assumed to ...

Iterative Receiver Design With Off-the-Grid Sparse Channel Estimation

Recent progress in wireless receiver design has been towards iterative processing, where channel estimation and decoding is considered a joint optimization problem. Sparse channel estimation is another recent advancement, which exploits the inherent structure of those wireless channels that are composed of a small number of multipath components. In this work we design iterative receivers which ...

Source separation of simultaneous source OBC data

To attain the benefits of simultaneous shooting in marine data acquisition, either the simultaneous sources have to be placed far apart to minimize the interferences from one another or sufficient attenuation of the interferences is necessary. Attenuating the interferences in a domain where they are randomly distributed has a potential of attenuating the signals particularly when they have conf...

Evaluation of Off-grid Hybrid Renewable Systems in the Four Climate Regions of Iran

Renewable systems influence the process of supplying domestic electricity demands. It will be useful to replace the conventional energy generation system by renewable energy sources since the uncontrolled use of fossil fuels is accompanied by global warming and environmental hazards, in addition to the danger of their depletion, and because most of the energy derived from these fuels are used i...

Off the grid tensor completion for seismic data interpolation