Random noise in seismic data affects the signal-to-noise ratio, obscures details, and complicates identification of useful information. We present a new method for reducing random, spike-like noise in seismic data. The method is based on a 1-D stationary median filter (MF) – the 1-D time-varying median filter (TVMF). We design a threshold value that controls the filter window according to chara...

From the early days in his career, Sid Yakowitz showed interest in noisy function optimization. He realized the universality of random search as an optimization paradigm, and was particularly interested in the minimization of functions Q without making assumptions on the form of Q. Especially the noisy optimization problem appealed to him, as exact computations of Q come often at a tremendous c...

which typically has a greater stiffness in tumors than in surrounding normal tissues. Exploiting this difference, Liu et al. engineered mechanoresponsive mesenchymal stem cells to act as vehicles for cancer drug delivery in a mouse model. The engineered stem cells accumulated in tumors, delivering the first half of a two-part cancer therapy: the enzyme cytosine deaminase. Subsequently, the drug...

In active noise control (ANC) systems, the online secondary path modeling (OSPM) methods that use additive random noise are often applied. The additive random noise, however, contributes to the residual noise, and thus deteriorates the noise control performance of ANC systems. This paper proposes a new OSPMmethod with power scheduling of additive random noise. Here the OSPM filter is adapted us...