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Low-dose X-ray computed tomography (CT) simulation from a high-dose scan is required in optimizing radiation dose to patients. In this paper, we propose a simple low-dose CT simulation strategy in the sinogram domain using the raw data from high-dose scan. Specially, a relationship between the incident fluxes of low- and high-dose scans is first determined according to the repeated projection measurements...
Spectral computed tomography (CT) with energy-resolved detector has gained considerable interests in recent years due to its remarkable abilities in yielding high energy resolution and material differentiation. However, because of the limited photon counts using narrow energy bin, spectral CT images usually suffer from poor SNR and strong streak artifacts. In this work, to restore each energy-specific...
Quantitative Polymerase Chain Reaction (qPCR) has revolutionized the detection of DNA and RNA. But the quantification results are susceptible to the effects of background noise and the intensity of detected fluorescent signals. Aiming at solving the above problem, this paper presents a signal preamplifier circuit which is compatible to the fluorescence detection system. In the entire process of genetic...
Feature-space transforms such as feature-space maximum likelihood linear regression (FMLLR) are very effective speaker adaptation technique, especially on mismatched test data. In this study, we extend the full-rank square matrix of FMLLR to a non-square matrix that uses neighboring feature vectors in estimating the adapted central feature vector. Through optimizing an appropriate objective function...
HMM-based audio-visual speech recognition (AVSR) systems have shown success in continuous speech recognition by combining visual and audio information, especially in noisy environments. In this paper we study how to improve decision trees used to create context classes in HMM-based AVSR systems. Traditionally, visual models have been trained with the same context classes as the audio only models....
This paper examines ways of improving channel estimation using successive decoding for the time varying frequency selective fading channel in a point to point wireless communication system. The channel state information (CSI) is not known a priori at either the transmitter or the receiver. The paper first presents the conventional pilot-symbol aided channel estimation (PACE) scheme and then the sequential...
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