Soft-Output Viterbi Algorithm (SOVA) is one type of recovery memory-less Markov Chain and is used widely to decode convolutional codes. Fundamentally, conventional SOVA is designed on the basis of Maximum A-Posteriori Probability (APP) with the assumption of normal distribution. Therefore, conventional SOVA fails miserably in the presence of symmetric alpha stable noise S S α which is one form ...

low frequency noise (lfn) is ubiquitous in both occupational and general environments. mental performance of subjects exposed to lfn is expected to be impaired. individual characters seem to play a significant role in this process. this study aimed to evaluate the effects of moderate levels of lfn (20–200 hz) on mental performance. fifty-three subjects (in two groups) were exposed to low and fl...

Problem of simulation of multivariate Lévy processes is investigated. The method based on shot noise series expansions of such processes combined with Gaussian approximation of the remainder is established in full generality. Formulas that can be used for simulation of tempered stable, operator stable and other multivariate processes are obtained. Key-words: Lévy processes, Gaussian approximati...

In this paper, we propose a shadow-free TILT method to rectify facade images corrupted by shadows. The proposed method is deduced from the original TILT, and improve it by introducing a multiplicative shadow factor. That is, in our method, the constraint is represented that the rectified image equals to the low-rank image multiplied by the shadow image, yet with the additive noise corruption. M...

We continue the study of stabilization phenomena for Dynkin diagram sequences initiated in the earlier work of Kleber and the present author. We consider a more general class of sequences than that of this earlier work, and isolate a condition on the weights that gives stabilization of tensor product and branching multiplicities. We show that all the results of the previous article can be natur...