We present a surface reconstruction technique that constructs a smooth, Ck, analytic surface from scattered data. The technique is robust to noise and both poorly and non-uniformly sampled data, making it well-suited for use in medical applications. In addition, the surface can be parameterized in multiple ways, making it possible to represent additional data, such as electromagnetic potential,...

This paper considers the problem of sampleddata control for continuous linear parameter varying (LPV) systems. It is assumed that the sampling periods are arbitrarily varying but bounded. Based on a time-varying delay system transformed from the sampled-data control system, some less conservative results are obtained compared with the existing results. The proposed method for the designed gain ...

We present a surface reconstruction technique that constructs a smooth, Ck, analytic surface from scattered data. The technique is robust to noise and both poorly and non-uniformly sampled data, making it well-suited for use in medical applications. In addition, the surface can be parameterized in multiple ways, making it possible to represent additional data, such as electromagnetic potential,...

The main goal of this article is to study the robustness continuous homogeneous systems with sampled-data inputs subject external disturbances. We characterize how perturbations affect system and we show that global asymptotic set stability achieved.

Introduction Compressed sensing (CS) can be used with data driven parallel imaging (PI) (1) in an integrated approach, such as L1 SPIR-iT (2), or a serial approach where CS is the second step (3). Likewise, the combination with model driven PI can be integrated (4,5) or serial (6) but, in the serial case, CS is the first step. A serial approach has the advantage that acceleration can be clearly...