In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
This paper presents our work on rapid language adaptation of acoustic models based on multilingual cross-language bootstrapping and unsupervised training. We used Automatic Speech...
In this paper, the use of closed-form expressions is compared to the BIC approximation, with respect to speaker clustering. We first show that the particular BIC setting which is...
Typical active noise control (ANC) system aims primarily at reducing the acoustic noise over the entire frequency band. Non-uniformity of human hearing response in frequency domai...
—In this work, a reduced reference (RR) perceptual quality metric for color stereoscopic images is presented. Given a reference stereo pair of images and their ”distorted” ve...
Speaker identification is a well-established research problem but has not been a major application used in gaming scenarios. In this paper, we propose a new algorithm for the ope...
This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing wor...
The application of joint source-channel coding, based on fountain codes, in the broadcast timeslot of wireless two-way network coding is investigated in this paper. A computationa...
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...