Noise power spectral density estimation is an important component of speech enhancement systems due to its considerable effect on the quality and the intelligibility of the enhanc...
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. For wide...
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency bands it can operate. It can obtain this knowledge by estimating the power spe...
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
An operational framework is developed for testing stationarity relatively to an observation scale. The proposed method makes use of a family of stationary surrogates for defining ...
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
Ultra-wideband (UWB) communication is an emerging wireless technology that promises high data rates over short distances and precise locationing. The large available bandwidth and...
∗ As one type of stealthy and hard-to-detect attack, lowrate TCP-targeted DDoS attack can seriously throttle the throughput of normal TCP flows for a long time without being noti...
— We consider a network setting, where a single Service Provider (SP) provides wireless data services to a group of users in the downlink. The transmission model is similar to OF...
In this paper, we derive and evaluate theoretical ratedistortion performance bounds for scalable video compression algorithms which use a single motion-compensated prediction (MCP...
Gregory W. Cook, Josep Prades-Nebot, Edward J. Del...