The paper derives an extended adjoint state representation of the covariance-data gradient and proves a tangential-cone-condition-like error bound for the nonlinear model.
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The extended adjoint state and nonlinearity in correlation-based passive imaging
The paper derives an extended adjoint state representation of the covariance-data gradient and proves a tangential-cone-condition-like error bound for the nonlinear model.