Synchronization based on mixture alignment for sound source separation in wireless acoustic sensor networks

Llerena-Aguilar, Cosme; Gil-Pita, Roberto; Rosa-Zurera, Manuel; Ayllón, David; Llerena, Francisco

doi:10.1016/j.sigpro.2015.06.023

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…They defined the length of a particular link as a random variable, and they defined this function as a mean function plus a function of the standard deviation. A similar approach was presented by Llerena-Aguilar et al [10]. They reported a hybrid method for the analysis of wave propagation and synchronization of a Wireless Acoustic Sensor (microphones) Networks.…”

Section: Introductionmentioning

confidence: 92%

Determining the Coupling Source on a Set of Oscillators from Experimental Data

2017

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Complex systems are a broad concept that comprises many disciplines, including engineering systems. Regardless of their particular behavior, complex systems share similar behaviors, such as synchronization. This paper presents different techniques for determining the source of coupling when a set of oscillators synchronize. It is possible to identify the location and time variations of the coupling by applying a combination of analytical techniques, namely, the source of synchronization. For this purpose, the analysis of experimental data from a complex mechanical system is presented. The experiment consisted in placing a 24-bladed rotor under an airflow. The vibratory motion of the blades was recorded with accelerometers, and the resulting information was analyzed with four techniques: correlation coefficients, Kuramoto parameter, cross-correlation functions, and the recurrence plot. The measurements clearly show the existence of frequencies due to the foreground components and the internal interaction between them due to the background components (coupling).

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Section: Introductionmentioning

confidence: 92%

Determining the Coupling Source on a Set of Oscillators from Experimental Data

2017

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“…Nevertheless, the electroacoustic transducers of these electronic devices have limited capability, which may affect their frequency response and the power level of the captured and emitted sounds, and hence the audio application performance. On the other hand, note that, in real-time applications, the selection of the network topology can worsen the system performance, introducing communication delays [12] and requiring the use of synchronization mechanisms [19,20]. Therefore, an ANC application over a distributed WASN should use a set of acoustic nodes placed strategically to reach the common objective of canceling an undesirable noise in some areas of interest.…”

Section: Introductionmentioning

confidence: 99%

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Antoñanzas

Ferrer

Diego

et al. 2017

Wireless Communications and Mobile Computing

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This paper considers the effect of effort constraints on the behavior of an active noise control (ANC) system over a distributed network composed of acoustic nodes. A distributed implementation can be desirable in order to provide more flexible, versatile, and scalable ANC systems. In this regard, the distributed version of the multiple error filtered-x least mean square (DMEFxLMS) algorithm that allows collaboration between nodes has shown excellent properties. However, practical constraints need to be considered since, in real scenarios, the acoustic nodes are equipped with power constrained actuators. If these constraints are not considered within the adaptive algorithm, the control signals may increase and saturate the hardware devices, causing system instability. To avoid this drawback, a control effort weighting can be considered in the cost function of the distributed algorithm at each node. Therefore, a control effort strategy over the output signals at each node is used to keep them under a given threshold and ensuring the distributed ANC system stability. Experimental results show that, assuming ideal network communications, the proposed distributed algorithm achieves the same performance as the leaky centralized ANC system. A performance evaluation of several versions of the leaky DMEFxLMS algorithm in realistic scenarios is also included.

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“…• Synchronization. Note that, in real-time applications, some topologies may introduce delays that could seriously affect the system performance, introducing communication delays [2] and requiring the use of synchronization mechanisms [31,32]. Therefore, the use of synchronization mechanisms among nodes is required in practical scenarios.…”

Section: Acoustic Sensor Network (Asn)mentioning

confidence: 99%

Distributed and Collaborative Processing of Audio Signals: Algorithms, Tools and Applications

Manuel¹

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This thesis fits into the field of Information and Communications Technology (ICT), especially in the area of digital signal processing. Nowadays and due in part to the rise of the Internet of Things (IoT), there is a growing interest in wireless sensor networks (WSN), that is, networks composed of different types of devices specifically distributed in some area to perform different signal processing tasks. These devices, also referred to as nodes, are usually equipped with electroacoustic transducers, such as sensors or actuators, as well as powerful and efficient processors with communication capability. In the particular case of acoustic sensor networks (ASN), nodes are dedicated to solving different acoustic signal processing tasks, such as environmental sound monitoring, immersive audio, binaural hearing aids, noise-cancelling systems as well as audio teleconferencing. These audio signal processing applications have been undergone a major development in recent years due in part to the advances made in computer hardware and software. This has led to the development of powerful centralized processing systems that allow the number of audio channels to be increased, the control area to be extended or more complex algorithmms to be implemented, thereby improving audio quality or creating independent control over several personal sound zones. In most cases, a distributed ASN topology can be desirable due to several factors such as the limited number of channels used by the sound acquisition and reproduction devices, the convenience of a scalable system or the high computational demands of a centralized fashion. All these aspects may lead to the use of novel distributed signal processing techniques with the aim to be applied over ASNs. To this end, one of the main contributions of this dissertation is the development of adaptive filtering algorithms for multichannel sound systems over distributed networks.Note that, for sound field control (SFC) applications, such as active noise control (ANC) or active noise equalization (ANE), acoustic nodes must be not only equipped with sensors but also with actuators in order to control and modify the sound field. However, most of the adaptive distributed networks approaches used to solve soundfield control problems do not take into account that the nodes may interfere or modify the behaviour of the rest. This is an important issue which is tackled throughout this thesis. Therefore, other important contribution of this thesis is focused on analyzing

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Synchronization based on mixture alignment for sound source separation in wireless acoustic sensor networks

Cited by 6 publications

References 25 publications

Determining the Coupling Source on a Set of Oscillators from Experimental Data

Determining the Coupling Source on a Set of Oscillators from Experimental Data

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Distributed and Collaborative Processing of Audio Signals: Algorithms, Tools and Applications

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