The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
In this work, a novel occlusion detection algorithm using online learning is proposed for video applications. Each frame of a video is considered as a time-step for which pixels a...
In this paper we propose a novel approach termed as dynamic copula time-frequency distribution (DCTFD) for the construction of positive time-frequency distributions (PTFDs). DCTFD...
Shwan Ashrafi, Hamidreza Amindavar, James A. Ritce...
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
In this paper, we design a low complexity linear MMSE decoder to recover the signal transmitted by M mobile users to a base station equipped with N receiving antennas, arranged as...
Beamformers are known to be sensitive to errors and mismatches in their array elements. This paper proposes a robust steerable broadband beamformer design using the Farrow structu...
For the task of detecting shouted speech in a noisy environment, this paper introduces a system based on mel frequency cepstral coefficient (MFCC) feature extraction, unsupervise...
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
A noise-robust, signal-to-noise ratio (SNR)-weighted correlogrambased pitch estimation algorithm (PEA) in which a bank of comb filters operates in each of the low, mid, and high ...