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We address the problem of human detection with mobile platforms such as robots. Instead of using an optical system, we propose to employ an acoustic 2D array to reliably obtain an image of a human in a 3D spatial power spectrum which is independent of lighting conditions and uses cheap acoustic sensors. We show that humans have a distinct acoustic signature and propose to model the echoes from reflecting...
We propose a new method for offline calibration of a sensor array with respect to position, gain and phase errors of the sensor elements. We model the effect of position errors explicitly, such that they can be corrected parametrically using a least-squares formulation. This is equivalent to the already existing maximum-likelihood position estimator, but does not require a minimal number of calibration...
We address the problem of sparse planar array design. Based on the theory of minimum redundancy arrays, we recently proposed an iterative algorithm that is capable to design highly thinned arrays with a low side-lobe level while retaining the half-power-beam-width of uniform arrays. In this paper, we analyze the effect of kernel bandwidth and compare the approach to a recent paper by Kopilovich which...
We address the problem of non-uniform, planar array design with an emphasis on imaging applications. Based on the theory of minimum redundancy arrays, we propose an iterative algorithm that is capable to design highly thinned arrays with a low side-lobe level while retaining the half-power-beam- width of an uniform rectangular array. The computational complexity of the proposed method is substantially...
Acoustic imaging has been used in a variety of applications, but its use in air has been limited due to the slow propagation of sound and high attenuation. We address the problem of ultrasound imaging of a scene in air with a 2D array under the constraint of a fixed platform. The presented system uses a single transmit pulse combined with a Capon beamformer at the receiving array under a near-field...
In thermochromatography (ThGC), where a series of chromatograms of the headspace vapour of a sample are recorded during temperature programmed heating of the sample and output data are presented as a 2D-plot of retention time versus pyrolysis temperature, chemometric methods are natural to use for data processing. The aim of this work is to assess the performance of evolving factor analysis (EFA)...
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