This paper addresses robust deconvolution filtering when the system and noise dynamics are obtained by parametric system identification. Consistent with standard identification me...
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Su...
The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user...
In this paper, we investigate the use of the coupled hidden Markov models (CHMM) for the task of audio-visual text dependent speaker identification. Our system determines the iden...
Tieyan Fu, Xiao Xing Liu, Lu Hong Liang, Xiaobo Pi...
In developing secure applications and systems, the designers often must incorporate secure user identification in the design specification. In this paper, we study secure off-line...