ACCURATE RECONSTRUCTION OF FINITE RATE OF INNOVATION SIGNALS ON THE SPHERE

被引:0
作者
Sattar, Yahya [1 ]
Khalid, Zubair [2 ]
Kennedy, Rodney A. [3 ]
机构
[1] Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
[2] Lahore Univ Management Sci, Sch Sci & Engn, Lahore, Pakistan
[3] Australian Natl Univ, Res Sch Engn, Canberra, ACT 2601, Australia
来源
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年
基金
澳大利亚研究理事会;
关键词
Unit sphere; sampling; finite rate of innovation; signal reconstruction; spherical harmonic transform; SAMPLING SCHEME;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
We propose a method for the accurate and robust reconstruction of the non-bandlimited finite rate of innovation signals on the sphere. For signals consisting of a finite number of Dirac functions on the sphere, we develop an annihilating filter based method for the accurate recovery of parameters of the Dirac functions using a finite number of observations of the bandlimited signal. In comparison to existing techniques, the proposed method enables more accurate reconstruction primarily due to the better conditioning of systems involved in the recovery of parameters. In order to reconstruct K Diracs on the sphere, the proposed method requires samples of the signal bandlimited in the spherical harmonic (SH) domain at SH degree equal or greater than K + root K + 1/4 - 1/2. In comparison to the existing state-of-the-art technique, the required bandlimit, and consequently the number of samples, of the proposed method is (approximately) the same. We also conduct numerical experiments to demonstrate that the proposed technique is more accurate than the existing methods by a factor of 10(7) or more for 2 <= K <= 20.
引用
收藏
页码:1727 / 1731
页数:5
相关论文
共 15 条
[1]   3D Spatial Fading Correlation for Uniform Angle of Arrival Distribution [J].
Alem, Yibeltal F. ;
Khalid, Zubair ;
Kennedy, Rodney A. .
IEEE COMMUNICATIONS LETTERS, 2015, 19 (06) :1073-1076
[2]   An Optimal Dimensionality Sampling Scheme on the Sphere with Accurate and Efficient Spherical Harmonic Transform for Diffusion MRI [J].
Bates, Alice P. ;
Khalid, Zubair ;
Kennedy, Rodney A. .
IEEE SIGNAL PROCESSING LETTERS, 2016, 23 (01) :15-19
[3]   Novel Sampling Scheme on the Sphere for Head-Related Transfer Function Measurements [J].
Bates, Alice P. ;
Khalid, Zubair ;
Kennedy, Rodney A. .
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2015, 23 (06) :1068-1081
[4]   Super-Resolution on the Sphere Using Convex Optimization [J].
Bendory, Tamir ;
Dekel, Shai ;
Feuer, Arie .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (09) :2253-2262
[5]   Towards a Mathematical Theory of Super- resolution [J].
Candes, Emmanuel J. ;
Fernandez-Granda, Carlos .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2014, 67 (06) :906-956
[6]   Spectral estimation on a sphere in geophysics and cosmology [J].
Dahlen, F. A. ;
Simons, Frederik J. .
GEOPHYSICAL JOURNAL INTERNATIONAL, 2008, 174 (03) :774-807
[7]   Sampling Signals With a Finite Rate of Innovation on the Sphere [J].
Deslauriers-Gauthier, Samuel ;
Marziliano, Pina .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (18) :4552-4561
[8]  
Deslauriers-Gauthier S, 2012, IEEE ENG MED BIO, P2294, DOI 10.1109/EMBC.2012.6346421
[9]   Sampling Sparse Signals on the Sphere: Algorithms and Applications [J].
Dokmanic, Ivan ;
Lu, Yue M. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (01) :189-202
[10]  
Kennedy R., 2013, Hilbert Space Methods in Signal Processing