We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
System level modeling with executable languages such as C/C++ has been crucial in the development of large electronic systems from general processors to application specific desig...
Xi Chen, Yan Luo, Harry Hsieh, Laxmi N. Bhuyan, Fe...
In this paper, we investigate methods for improving the hit rates in the first level of memory hierarchy. Particularly, we propose victim cache structures to reduce the number of ...
Gokhan Memik, Glenn Reinman, William H. Mangione-S...
The topic on platform-based system modeling has received a great deal of attention today. One of the important tasks that significantly affect the effectiveness and efficiency of ...
This paper presents methods for independently modifying the time and pitch scale of acoustic signals, with an emphasis on speech signals. The algorithms developed here use paramet...