Biometric secret-key binding inherently requires signal processing and error correction schemes due to noisy measurement readings. Two previously proposed strategies, Quantization...
Aniketh Talwai, Francis Minhthang Bui, Ashish Khis...
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Gu...
This paper considers using online binary classification for target detection where the goal is to identify signals of interest within a sequence of received signals generated by ...
In this paper, we present new results from our research into the vulnerability of a speaker verification (SV) system to synthetic speech. We use a HMM-based speech synthesizer, w...
This paper examines the correlation properties of quantization noise. The quantization noise energy is subtractive if the quantizer output levels are optimized for the probability...
We propose blind equalization algorithms that perform similarly to supervised ones, independently of the QAM order. They converge approximately to the Wiener solution, which gener...
Joao Mendes Filho, Magno T. M. Silva, Maria D. Mir...
In this paper, we are interested in modeling diffusion of innovations on social networks. We focus on a scenario where innovation emerges at a small number of nodes in the society...
Mehmet Ercan Yildiz, Daron Acemoglu, Asuman E. Ozd...
This paper presents the least-mean-magnitude-phase (LMMP) algorithm for adaptive signal processing of complex-valued signals. The algorithm employs a decomposition of the meansqua...
This paper introduces a method of enhancing an unattended ground sensor (UGS) system’s classification capability of humans via seismic signatures while subsequently discriminati...
This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the ...