— As the cost of embedded sensors and actuators drops, new applications will arise that exploit high density networks of small devices capable of a variety of sensing tasks. Alth...
Lewis Girod, Vladimir Bychkovskiy, Jeremy Elson, D...
— In this paper, we propose a new decoding algorithm for quasi-orthogonal space-time block codes (QOSTBCs) which achieves near Maximum Likelihood (ML) performance while substanti...
Existing high-rate full diversity space-time codes (STC) always have high decoding complexity with traditional ML (maximum-likelihood) or near-ML decoding. Hence the decoding schem...
Tian Peng Ren, Yong Liang Guan, Chau Yuen, Er Yang...
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...