In this paper, an improved approach to blind deconvolution of LTI systems incorporating phase unwrapping is presented. The method can recover a noise-free estimate of the logarith...
To satisfy high-performance computing demand in modern embedded devices, current embedded processor architectures provide designer with possibility either to define customized ins...
I-Wei Wu, Zhi-Yuan Chen, Jean Jyh-Jiun Shann, Chun...
We explore the opportunity to harness electroencephalograph (EEG) signals generated during human visual processing to enhance computer vision systems. We review the challenging ta...
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric...
This paper describes a study of automatically identifying whispering speakers. People usually whisper in order to avoid being identified or overheard by lowering their voices. Th...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...