MCG–5-23-16 is one of the first AGN where relativistic reverberation in the iron K line originating in the vicinity of the supermassive black hole was found, based on a short XMM-Newton observation. In this work, we present the results from long X-ray observations using Suzaku, XMM-Newton and NuSTAR designed to map the emission region using X-ray reverberation. A relativistic iron line is detec...

In active sonar the target echo level is often estimated with a propagation model that adds all multipath arrivals. If the (post-correlator) transmitted pulse is short compared to the multipath time spread then there is effectively an extra loss (which may be substantial) since only a few of the paths contribute to the target echo at any one instant. This well known "time-smearing" loss is trea...

We present a single channel method for late reverberation suppression. The proposed approach estimates late reverberation as a linear combination of previous time-frequency frames. We impose a sparsity constraint on the predictor in order to select the most relevant signal frames for the estimation. The dataset used for the evaluation is corrupted by background noise, thus we propose to jointly...

We review the basic observed and inferred properties of the broad emission-line region in AGNs, as well as the basics of the reverberation-mapping technique that can be used to determine the size and structure of the region. We argue that the current best evidence points to a multi-component line-emitting region, with a disk-like structure, possibly an extension of the accretion disk itself, an...

Blind estimation of acoustic room parameters such as the reverberation time T60 and the direct-to-reverberation ratio (DRR) is still a challenging task, especially in case of blind estimation from reverberant speech signals. In this work, a novel approach is proposed for joint estimation of T60 and DRR from wideband speech in noisy conditions. 2D Gabor filters arranged in a filterbank are explo...

In recent years, metamaterials have gained considerable attention as a promising material technology due to their unique properties and customizable design, distinguishing them from traditional materials. This article delves into the value of acoustic in room acoustics, particularly small acoustics that poses specific challenges significant cavity resonant nature. Small rooms usually exhibit an...

A reverberation-time-aware deep-neural-network (DNN)-based multi-channel speech dereverberation framework is proposed to handle a wide range of reverberation times (RT60s). There are three key steps in designing a robust system. First, to accomplish simultaneous speech dereverberation and beamforming, we propose a framework, namely DNNSpatial, by selectively concatenating log-power spectral (LP...

This paper presents a new method for dereverberation of speech signals with a single microphone. For applications such as speech recognition, reverberant speech causes serious problems when a distant microphone is used in recording. This is especially severe when the reverberation time exceeds 0.5 of a second. We propose a method which uses the fundamental frequency ( ) of target speech as the ...

The generalized spectral subtraction algorithm (GBSS), which has extraordinary ability in background noise reduction, is historically one of the first approaches used for speech enhancement and dereverberation. However, not been applied to de-noise room impulse response (RIR) extend reverberation decay range. application GBSS this study stated as an optimization problem, that is, subtracting le...