We propose a new algorithm for Approximate Joint Diagonalization (AJD) with two main advantages over existing state-of-the-art algorithms: Improved overall running speed, especial...
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Measurement and evaluation of biometric device performance is critical to end users and consumers of these devices. In this paper we present explicit theoretical correlation model...
This paper presents a modulation-based reconstruction method for audio signals across long gaps of missing samples. We use LTI filterbanks followed by a multiplicative model that...
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...