We present a two stage blind source separation (BSS) algorithm for robot audition. The algorithm is based on a beamforming preprocessing and a BSS algorithm using a sparsity separation criterion. Before the BSS step, we filter the sensors outputs by beamforming filters to reduce the reverberation and the environmental noise. As we are in a robot audition context, the manifold of the sensor arra...

Using the sparsity property in the frequency domain of harmonic signals, this paper gives a harmonic extraction algorithm based on multi-resolution blind source separation (BSS) method. After the general and detailed definition of the multi-resolution BSS model is given, the wavelet packet decomposition based multiresolution BSS algorithm for harmonic signal extraction is constructed in detail....

The purpose of the present study is to identify the motivators and the barriers of using Mashhad’s Bicycle Sharing System. Bicycle sharing systems (BSS) are carried out in different ways, so each system has specific features and conditions. The authors of this paper have used a qualitative approach with a thematic analysis method for an in-depth analysis of the motivators and barriers of Mashha...

This paper proposes hands-free speech recognition using blind source separation (BSS) post-processed by two-stage spectral subtraction (2S-SS). The BSS using independent component analysis (ICA) estimates a target signal and jammer signals. The 2S-SS removes its residual crosstalk components and suppresses spatially-distributed noise not separated by BSS. In large vocabulary continuous speech r...

Backward compatibility is an essential ingredient for the success of new technologies. In the context of inband full-duplex (FD) communication, FD base stations (BSs) should support half-duplex (HD) users’ equipment (UEs) without sacrificing the foreseen FD gains. This paper presents flexible and tractable modeling framework for multi-tier cellular networks with FD BSs and FD/HD UEs. The presen...

The demand for wireless resources is increasing in high pace. Heterogeneous network (HetNet), which consists of cells with different coverage, e.g., macro cell base stations (BSs) and small cell BSs, is a key solution to address this increased demand. This paper presents a handover (HO) algorithm for BS sleep-wake mode, which reduces the energy consumption in HetNet. In the first phase of the H...

Blind Source Separation (BSS) algorithms have often been interpreted as a set of blind adaptive beamformers. Although this interpretation does not entirely hold under realistic conditions, it gives some useful insights on the self-steering capacity of BSS techniques. Actually, while accurate source location information is usually necessary to steer a beamformer, BSS offers the possibility to re...

Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., Adaptive Beamformers (ABF). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABF. The unmixing matrix of the BSS and the filter coefficients of the ABF converge to th...

The energy consumption of home femto base stations (BSs) can be reduced, by turning off the Wi-Fi radio interface when there is no mobile station (MS) under the coverage of the BSs or MSs do not transmit or receive data packet for long time, especially in late night. In the energy-efficient home femto BSs, if MSs have any data packet to transmit and the Wi-Fi radio interface in off state, MSs w...

Second Order Blind Source Separation (SO-BSS) techniques possess several mathematical characteristics making them a viable option for Operational Modal Analysis (OMA). However, on closer scrutiny it is revealed that there are certain subtleties that limit their direct application to OMA applications. This paper continues from past work of the authors, which focussed on understanding SO-BSS tech...