| 摘要 |
The present disclosure provides a semi-analytic inversion method that computes an approximate, sparse representation of the data in terms of the (a, T 1 , T 2 ). Methods, in accordance with the present disclosure, compute T 2 's in a semi-analytic fashion, such as by using simultaneous Hankel representation of the data, use one dimensional convex optimization to compute the amplitudes, a, and finally compute T 1 <sub/>in an analytic fashion by appropriate averaging techniques. The proposed method provides a more efficient way to represent the data when compared to linearized methods, and is computationally less demanding when compared to some existing nonlinear optimization methods. |
