Directionally Weighted Wave Field Estimation Exploiting Prior Information on Source Direction

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

[1]  Robert D. Nowak,et al.  Majorization–Minimization Algorithms for Wavelet-Based Image Restoration , 2007, IEEE Transactions on Image Processing.

[2]  Larry S. Davis,et al.  High Order Spatial Audio Capture and Its Binaural Head-Tracked Playback Over Headphones with HRTF Cues , 2005 .

[3]  Hiroshi Saruwatari,et al.  Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[5]  Marwan Al-Akaidi,et al.  Nearfield binaural synthesis and ambisonics. , 2007, The Journal of the Acoustical Society of America.

[6]  Harmonic polynomials , hyperspherical harmonics , and atomic spectra , 2009 .

[7]  N. Aronszajn Theory of Reproducing Kernels. , 1950 .

[8]  Hiroshi Saruwatari,et al.  Kernel Ridge Regression with Constraint of Helmholtz Equation for Sound Field Interpolation , 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

[9]  J. Ahrens,et al.  An Analytical Approach to Sound Field Reproduction Using Circular and Spherical Loudspeaker Distributions , 2008 .

[10]  Thushara D. Abhayapala,et al.  Theory and design of high order sound field microphones using spherical microphone array , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[11]  Zafer Dogan,et al.  3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[12]  Prasanga N. Samarasinghe,et al.  Spherical-Harmonic-Domain Feedforward Active Noise Control Using Sparse Decomposition of Reference Signals from Distributed Sensor Arrays , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[13]  A. Berkhout,et al.  Acoustic control by wave field synthesis , 1993 .

[14]  Yu-lin Xu,et al.  Fast evaluation of Gaunt coefficients: recursive approach , 1997 .

[15]  Hiroshi Saruwatari,et al.  Three-Dimensional Sound Field Reproduction Based on Weighted Mode-Matching Method , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[16]  Hiroshi Saruwatari,et al.  Reciprocity gap functional in spherical harmonic domain for gridless sound field decomposition , 2020, Signal Process..

[17]  Zafer Dogan,et al.  Localization of point sources for systems governed by the wave equation , 2011, Optical Engineering + Applications.

[18]  R. Kress,et al.  Inverse Acoustic and Electromagnetic Scattering Theory , 1992 .

[19]  W. H. Ow,et al.  Uniform approximation on closed sets by solutions of elliptic partial differential equations , 1986 .

[20]  Hiroshi Saruwatari,et al.  Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition , 2018, IEEE Transactions on Signal Processing.

[21]  Shoichi Koyama,et al.  Sparse Representation of a Spatial Sound Field in a Reverberant Environment , 2019, IEEE Journal of Selected Topics in Signal Processing.

[22]  Jont B. Allen,et al.  Image method for efficiently simulating small‐room acoustics , 1976 .

[23]  Jerome Daniel,et al.  Spatial Sound Encoding Including Near Field Effect: Introducing Distance Coding Filters and a Viable, New Ambisonic Format , 2003 .

[24]  R. Narasimhan,et al.  Analysis on Real and Complex Manifolds , 1973 .

[25]  Remy Bruno,et al.  A New Comprehensive Approach of Surround Sound Recording , 2003 .

[26]  Prasanga N. Samarasinghe,et al.  Active Noise Control Over Space: A Wave Domain Approach , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[27]  Gary W. Elko,et al.  A highly scalable spherical microphone array based on an orthonormal decomposition of the soundfield , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[28]  Takaaki Nara,et al.  An inverse source problem for Helmholtz's equation from the Cauchy data with a single wave number , 2011 .

[29]  Hu Yu,et al.  Sound field reconstruction with sparse sampling and the equivalent source method , 2018, Mechanical Systems and Signal Processing.

[30]  Hiroshi Saruwatari,et al.  Sound Field Recording Using Distributed Microphones Based on Harmonic Analysis of Infinite Order , 2018, IEEE Signal Processing Letters.

[31]  Michael Rabadi,et al.  Kernel Methods for Machine Learning , 2015 .

[32]  Guy Masters,et al.  RESEARCH NOTE: On the efficient calculation of ordinary and generalized spherical harmonics , 1998 .

[33]  Prasanga N. Samarasinghe,et al.  Wavefield Analysis Over Large Areas Using Distributed Higher Order Microphones , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[34]  Hiroshi Saruwatari,et al.  Spatial Active Noise Control Based on Kernel Interpolation with Directional Weighting , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[35]  Mark A. Poletti,et al.  Three-Dimensional Surround Sound Systems Based on Spherical Harmonics , 2005 .

[36]  J. Conoir,et al.  Multiple Scattering: Interaction of Time-Harmonic Waves with N Obstacles , 2006 .

[37]  Bernhard Schölkopf,et al.  A Generalized Representer Theorem , 2001, COLT/EuroCOLT.

[38]  Bernhard Schölkopf,et al.  The representer theorem for Hilbert spaces: a necessary and sufficient condition , 2012, NIPS.

[39]  E. Williams,et al.  Fourier Acoustics: Sound Radiation and Nearfield Acoustical Holography , 1999 .

[40]  Marc Teboulle,et al.  A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..

[41]  Craig T. Jin,et al.  Upscaling Ambisonic sound scenes using compressed sensing techniques , 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).