5 accepted papers
Speech enhancement algorithms based on deep learning have greatly surpassed their traditional counterparts and are now being considered for the task of removing acoustic echo from hands-free communication systems. This is a challenging problem due to both real-world constraints like loudspeaker non-…
If the sampled version x(n)=xc(nT) of a continuous-time signal xc(t) is periodic, it does not necessarily imply that xc(t) is periodic. This paper presents some conditions under which periodicity of xc(t) is indeed implied. The conditions for this implication are more relaxed than bandlimitedness. T…
Ramanujan filter banks (RFB) are useful to generate time-period plane plots which allow one to localize multiple periodic components in the time domain. For such applications, the RFB produces more satisfactory results compared to short time Fourier transforms and other conventional methods, as demo…
Given that a sequence x(n) is periodic with period P belonging to a known integer set {P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> , P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ,…
We propose a new filter-bank structure for the estimation and tracking of periodicities in time series data. These filter-banks are inspired from recent techniques on period estimation using high-dimensional dictionary representations for periodic signals. Apart from inheriting the numerous advantag…