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We propose a TDOA-based algorithm for source localization on rigid surfaces. This allows the conversion of readily available large surfaces into touch interfaces using surface-mounted vibration sensors. To achieve this, we characterize the arrival of each sensor-received signal by the arrival times of its frequency components. To estimate the arrival time of each frequency component, we first model...
We propose a new algorithm for source localization on rigid surfaces, which allows one to convert daily objects into humancomputer touch interfaces using surface-mounted vibration sensors. This is achieved via estimating the time-difference-of-arrivals (TDOA) of the signals across the sensors. In this work, we employ a smooth parametrized function to model the gradual noise-to-signal energy transition...
We propose a new approach to the development of a touch interface using surface-mounted sensor which allows one to convert a rigid surface into a touch pad. This is achieved by using location template matching (LTM), a source localization algorithm that is robust to dispersion and multipath. In this interdisciplinary research, we analyze the mechanical model for vibrations due to impacts on plate...
This paper focuses on the problem of single-channel noise reduction in a transient noise environment for speech enhancement application. A typical speech enhancement algorithm requires an estimate of the noise statistics. However, the problem of noise estimation is challenging when the statistics of the noise vary significantly with time. By exploiting the fact that for speech signal most of the energy...
We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation...
Fixed beamformers maintain response that is independent of the signal and interference statistics. Frequency-invariant fixed beamformers can achieve constant beamwidth across all frequencies which results in lower signal distortion and they have lower computation complexity compared to its adaptive counterpart. However, unlike data-dependent beamformers, their sidelobe attenuation is poor with respect...
The mixing matrix estimation in conventional underdetermined convolutive blind source separation (UCBSS) algorithms assume that the source signals are W-disjoint in the time-frequency (TF) domain. This assumption requires that each TF point of the received mixtures is a single-source point (SSP), which may not always be true. In this work, we propose a preprocessing technique to estimate the single-source...
In this work, we exploit, in addition to sparseness, the temporal structure of the source signals to address the problem of underdetermined blind source separation. To achieve good separation performance and reduction of artifacts, a two-stage algorithm is proposed. In the first stage, the auto-regressive (AR) coefficients of the source signals are estimated using partially separated sources that...
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