A sound field recording method based on spherical or circular harmonic analysis for arbitrary array geometry and directivity of microphones is proposed. In current methods analysis, a decomposed into functions with center given in advance, which called global origin, their coefficients are obtained up to certain truncation order using microphone measurements. However, the accuracy reconstructed depends predefined position origin order, makes it difficult apply this technique an asymmetric...

For transmission of a physical sound field in large area, it is necessary to transform received signals microphone array into driving loudspeaker reproduce the field. We propose method for transforming these by using planar or linear arrays microphones and loudspeakers. A continuous equation analytically derived based on wave propagation spatio-temporal frequency domain. By introducing spatial sampling, uniquely determined filter, called reconstruction filter (WFR filter), derived. Numerical...

In order to control an acoustic field inside a target region, it is important choose suitable positions of secondary sources (loudspeakers) and sensors (control points/microphones). This article provides overview state-of-the-art source sensor placement methods in sound control. Although the both greatly affects accuracy filter stability, their joint optimization has not been thoroughly investigated acoustics literature. this context, we reformulate five general and/or that can be applied...

This paper investigates sound-field modeling in a realistic reverberant setting. Starting from few point-like microphone measurements, the goal is to estimate direct source field within whole three-dimensional (3-D) space around these microphones. Previous sparse sound decompositions assumed only spatial sparsity of distribution, but could generally not handle reverberation. We here add an explicit model field, that has two components: first component plane-wave domain, other low-rank as...

A sound field reproduction method based on the spherical wavefunction expansion of fields is proposed, which can be flexibly applied to various array geometries and directivities. First, we formulate synthesis as a minimization problem some norm difference between desired synthesized fields, then optimal driving signals are derived by using fields. This formulation closely related mode-matching method; major advantage proposed weight mode determined according minimized instead empirical...

A sound field recording and reproduction method using circular arrays of microphones loudspeakers with a spherical baffle is proposed. The an acoustically rigid object on which the microphone array mounted. driving signals must be obtained from received by microphones. transform filter for this signal conversion analytically derived, referred to as wave reconstruction filter. proposed compared methods directional mounted cylindrical baffle. Numerical simulations indicated that advantageous...

Kernel ridge regression with the constraint of Helmholtz equation for three-dimensional sound field interpolation is proposed. Interpolation a formulated as an optimization problem whose objective function to be minimized weighted sum squared residuals and norm interpolating field. We show that this corresponds kernel reproducing given by zeroth-order spherical Bessel first kind. In kernel, physical on fields, i.e., equation, taken into consideration, which major advantage over other...

An active noise control (ANC) method to reduce over a region in space based on kernel interpolation of sound field is proposed. Current methods spatial ANC are largely spherical or circular harmonic expansion the field, where geometry error microphone array restricted simple one such as sphere circle. We instead apply method, which allows for estimation continuous with flexible configurations. The scheme used derive adaptive filtering algorithms minimizing acoustic potential energy inside...

We propose a sound-pressure-to-driving-signal (SP-DS) conversion method for sound field reproduction based on sparse representation. The most important problem in is how to calculate driving signals of loudspeakers reproduce desired fields. In common recording and systems, pressures at multiple positions obtained area are only known as the field; therefore, SP-DS algorithms necessary. Current methods do not take into account sources be reproduced, which results severe spatial aliasing...

For sound field reproduction that includes height (with-height reproduction), it is more efficient to record and reproduce the with lower resolution in elevation than azimuth due spatial abilities of human auditory perception. We propose a method using horizontally arranged cylindrical arrays microphones loudspeakers, which based on wave reconstruction (WFR) filter. With use array configurations, possible waves arriving from upper directions smaller number elements at angular positions. The...

A wave field estimation method exploiting prior information on source direction is proposed. First, we formulate a problem as regularized least squares, where the norm of used for regularization term. The defined basis weighting function that reflects direction. We derive closed-form solution using theories Hilbert spaces. Results numerical experiments indicated high accuracy can be achieved by proposed in comparison with other current methods do not use any information.

A new impulse response (IR) dataset called "MeshRIR" is introduced. Currently available datasets usually include IRs at an array of microphones from several source positions under various room conditions, which are basically designed for evaluating speech enhancement and distant recognition methods. On the other hand, methods estimating or controlling spatial sound fields have been extensively investigated in recent years; however, current IR not applicable to validating comparing these...

An interpolation method for region-to-region acoustic transfer functions (ATFs) based on kernel ridge regression with an adaptive is proposed. Most current ATF methods do not incorporate the properties which measurements are performed. Our proposed a separate adaptation of directional weighting to directed and residual reverberations, used adapting functions. Thus, can only impose constraints fundamental properties, but also adapt environment. Numerical experimental results indicated that...

There is growing interest in new audio formats the context of virtual reality (VR), and higher-order ambisonics (HOA) preferred for VR systems to transmit recorded scenes owing its transmission efficiency flexibility work with different loudspeaker setups. However, conversion between another well-known format, i.e., object HOA format not fully addressed literature. To address this issue, blind source separation a spherical harmonic (SH) domain can be considered as best way extract objects...

Using deep Chandra Advanced CCD Imaging Spectrometer (ACIS) observation data for Cygnus A, we report evidence of non-thermal X-ray emission from radio lobes surrounded by a rich intracluster medium (ICM). The diffuse emission, which is associated with the eastern and western lobes, was observed in 0.7–7 keV ACIS image. lobe spectra are reproduced not only single-temperature Mekal model, such as that surrounding ICM component, but also an additional power-law (PL) model. flux densities PL...

A sound field recording and reproduction method based on sparse decomposition is proposed. Most current methods are plane-wave or harmonic of the pressure distribution obtained by microphones, which leads to spatial aliasing artifacts with severe effects. This paper proposes a for generative model consisting near-field source components far-field components. Since can be assumed spatially sparse, microphones decomposed into these two using algorithms. Using proposed method, more accurately...

Multichannel non-negative matrix factorization based on a spatial covariance model is one of the most promising techniques for blind source separation. However, this approach not tractable large number microphones, M, because computational cost order O(M <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) per time-frequency bin. To circumvent drawback, we propose tensor in wavenumber domain, which reduces to O(M). It transforms microphone...

A method for feedforward active noise control (ANC) over a spatial region is proposed. Conventional multipoint ANC aims to reduce the at multiple discrete positions; therefore, reduction in between these points cannot be guaranteed. Recent studies revealed possibility of ANC, i.e., continuous target region. These methods are essentially based on spherical/circular harmonic decomposition sound field by using arrays and have mainly been investigated feedback under assumption periodicity noise....

A sound field estimation method based on a physics-informed convolutional neural network (PICNN) using spline interpolation is pro-posed. Most of the methods are wavefunction expansion, making estimated function satisfy Helmholtz equation. However, these rely only physical properties; thus, they suffer from significant deterioration accuracy when number measurements small. Recent learning-based networks have advantages in esti-mating sparse training data available. since properties not taken...

A method to interpolate the acoustic transfer function (ATF) between regions using kernel ridge regression (KRR) is proposed. Conventionally, ATF interpolation problem strongly restricted and situational, depending on knowledge of environmental conditions while not accounting for source position variation. We derive our as solution an optimization defined a space where every element holds properties ATF. By making reproducing Hilbert (RKHS), we can guarantee that has known unique optimizer....

Two sound field reproduction methods, weighted pressure matching and mode matching, are theoretically experimentally compared.Weighted a generalization of conventional respectively.Both methods derived by introducing weighting matrix in the matching.The is defined on basis kernel interpolation from at discrete set control points.In regional integration spherical wavefunctions.It shown that special case infinite-dimensional harmonic analysis for estimating expansion coefficients...

A sparse representation method for multidimensional signals is proposed. In generally used group-sparse algorithms, the sparsity imposed only on a single dimension and in other dimensions are solved least-square-error sense. However, can be multiple dimensions. For example, acoustic array processing, addition to of spatial distribution sources, source will also time-frequency domain. We define mixed-norm penalty, which enables controlled each dimension. The majorization-minimization approach...