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Sound Field Synthesis techniques, such as Wave Field Synthesis aim at a physically accurate reproduction of a desired sound field inside an extended listening area. This area is surrounded by loudspeakers individually driven by their respective driving signals. Due to practical limitations, artefacts impair the synthesis accuracy resulting in a perceivable change in timbre compared to the desired...
For spaceborne phased arrays, real-time antenna calibration plays a critically important role. It is the premise of high performance digital beamforming. Conventional antenna calibration approaches usually need to interrupt normal communication traffic flows to perform calibration and thus data satellite communications are interrupted. In this paper, an online calibration method without interrupting...
Brain waves contain manifold information about ongoing cognitive processes and related body function. This information, such as power changes in certain frequency bands, can be extracted and interpreted by brain-computer interfaces (BCI). For this publication, we re-evaluated data from two subjects with implanted subdural electrodes who participated in a two-class BCI motor imagery experiment with...
Localization of a viewer's region of interest (ROI) on eye gaze signal trajectories acquired by eye trackers is a widely used approach in scene analysis, image compression, and quality of experience assessment. In this paper, we propose a novel clustering approach for ROI estimation from potentially noisy raw eye gaze data, based on signal processing on graphs. The clustering approach adapts graph...
We review recent advances in longitudinal fiber dispersion engineering that have enabled construction of efficient parametric devices operating at a few photon level. We outline principal physical processes and present operational demonstration of parametric devices for high speed signal processing and sensing.
Processing of information from the sensors and the resources available to the commander are very important for his decision-making process. Quality of information for decision-making process has a great importance. This article focuses on the description of the modeling of signal processing from sensors in a probabilistic model of recognition Custom / Foreign Identification Friendly or Foe and access...
A new circuit solution for current controlled current amplification is proposed. The basic idea of the circuit is to use a DC current in order to induce an unbalance on the VGS loop of a current mirror. It is demonstrated that the input-output amplification is controlled by a DC current.
We report the first experimental demonstration of multi-cavity optoelectronic oscillators where the different cavities are hosted in a single multicore fiber. Different configurations are implemented on the same 20-m 7-core fiber link, exploiting both unbalanced dual-cavity operation (loop lengths are a multiple of a reference value) and multi-cavity Vernier operation (loop lengths are slightly different).
The main goal of the work is to present some aspects in using time-frequency transforms, applied to the vibration signals and for change detection purposes, from signal processing point of view. The processed object is the time-frequency image (TFI), as result of the time-frequency transform. Two distributions are considered: Wigner-Ville and Choi-Williams, each with specific properties and matched...
In this paper, several methods based on signal processing on graphs are proposed to improve the performance of credit card fraud detection. The proposed methods consist of a variant of the classic iterative amplitude adjusted Fourier transform (IAAFT) and two methods that we have called iterative surrogate signals on graph algorithms (ISSG). The objective is to generate surrogate samples from the...
The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse...
Human and machine performance in acoustic scene classification is examined through a parallel experiment using TUT Acoustic Scenes 2016 dataset. The machine learning perspective is presented based on the systems submitted for the 2016 challenge on Detection and Classification of Acoustic Scenes and Events. The human performance, assessed through a listening experiment, was found to be significantly...
In the past period, great efforts have been made to develop methods for people detection based on monitoring their respiratory motion using ultra-wide band sensors (radars). The basic principle of these methods consists in the detection of signal components of raw radar data possessing a significant power in the frequency band 0.1 Hz-0.7 Hz (a frequency range of human respiratory rate) for a constant...
Multitrack audio mixing is an essential part of music production and one of the first steps consist on processing individual stems from raw recordings. In this paper, we investigate this stage as a content-based transformation. We explore which audio features are relevant to interpret this specific process and which set of features gets modified by the mixing of stems in the most consistent way. We...
Devices used for nondestructive testing of wire rope often include a guide wheel, which is connected to an encoder to measure the running distance of the wire rope and to provide information about defect positions. However, in use, problems with the guide wheel such as contact jittering, slipping, idling, and bouncing cause encoder pulse loss, which affects the location measurements and quantitative...
A localization using an impulse radio ultra-wideband (IR-UWB) radar has obtained popularity. The IR-UWB radar is appropriate to detect a passive target which does not transmit a specific signal to other anchor nodes. To use the radar in practical situations, efficient clutter suppression and peak detection methods have to be required. Therefore, in this paper, we propose enhanced clutter removal and...
HF ionospherical channels are very challenging due to their time and frequency selective, and highly varying natures. Furthermore, they offer only limited data rates, which led generations of engineers to limit the signalization information and to reduce the number of turnarounds to preserve a maximum throughput for useful data. However, new wideband modems [1] [2] have recently been proposed, that...
Edge windowing is a windowing technique for Orthogonal Frequency Division Multiplexing (OFDM) signals based on the idea of using shorter cyclic prefix (CP) and longer window lengths at the edge subcarriers while keeping the symbol length fixed. In this study, we investigate the performance of OFDM signals with edge windowing under non-linear power amplifier (PA) effects by observing out-of-band (OOB)...
In this paper we propose a method for the localization of acoustic sources using small microphone arrays randomly placed in the acoustic scene. The presented approach is based on a ray-based plane wave decomposition performed locally on each microphone array followed by a fusion of the obtained results in order to build a sound field representation that is convenient for the localization of acoustic...
Compressed sensing can represent the sparse signal with a small number of measurements compared to Nyquist-rate samples. Considering the high-complexity of reconstruction algorithms in CS, recently compressive detection is proposed, which performs detection directly in compressive domain without reconstruction. Different from existing work that generally considers the measurements corrupted by dense...
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