In this paper we describe a new approach for the estimation of the porosity and its uncertainty from Nuclear Magnetic Resonance relaxation measurements in porous media. The new ap...
Fred K. Gruber, Lalitha Venkataramanan, Denise E. ...
This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consist...
Kei Hashimoto, Junichi Yamagishi, William J. Byrne...
Interior tomography is an emerging area, which is for theoretically exact reconstruction of an internal region of interest (ROI) only from local projection data directly associate...
Sinusoidal modeling is traditionally one of the most popular techniques for low bitrate audio coding. Usually, the sinusoidal parameters are kept constant within a time segment bu...
Estimation of the amounts of target molecules in realtime affinity-based biosensors is studied. The problem is mapped to inferring the parameters of a temporally sampled diffusio...
This paper addresses the problem of beamforming (BF) design for orthogonal frequency division multiplexing (OFDM) based relay networks over frequency-selective channels. Both freq...
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
A new FFT architecture for real-time implementation of large FFTs is presented. The architecture supports both, highthroughput and variable-length processing capabilities. The imp...
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...