Three-dimensional magnetotelluric MT inversion is an emerging technique for offshore hydrocarbon exploration. We have developed a new approach to the 3D inversion of MT data, based on the integral equation method. The Tikhonov regularization and physical constraint have been used to obtain a stable and reasonable solution of the inverse problem. The method is implemented in a fully parallel com...

We present statistical and interval techniques for evaluating the uncertainties associated with geophysical tomographic inversion problems, including estimation of data errors, model errors, and total solution uncertainties. These techniques are applied to the inversion of traveltime data collected in a cross well seismic experiment. The inversion method uses the conjugate gradient technique, i...

Aims Data assimilation is a useful tool to extract information from large datasets of the net ecosystem exchange (NEE) of CO2 obtained by eddy-flux measurements. However, the number of parameters in ecosystem models that can be constrained by eddy-flux data is limited by conventional inverse analysis that estimates parameter values based on one-time inversion. This study aimed to improve data a...

Knowledge of vocal-tract (VT) length is a logical prerequisite for acoustic-to-articulatory inversion. Prior work has treated VT length estimation (VTLE) and inversion largely as separate problems. We describe a new algorithm for VTLE based on acoustic-to-articulatory inversion. Our inversion process uses the Maeda model (MM, [1,2]) and combines global search [3] and dynamic programming for tra...