Abstract

Many practical sampling patterns for function approximation on the rotation group utilizes regular samples on the parameter axes. In this paper, we analyze the mutual coherence for sensing matrices that correspond to a class of regular patterns to angular momentum analysis in quantum mechanics and provide simple lower bounds for it. The products of Wigner d-functions, which appear in coherence analysis, arise in angular momentum analysis in quantum mechanics. We first represent the product as a linear combination of a single Wigner d-function and angular momentum coefficients, otherwise known as the Wigner 3j symbols. Using combinatorial identities, we show that under certain conditions on the bandwidth and number of samples, the inner product of the columns of the sensing matrix at zero orders, which is equal to the inner product of two Legendre polynomials, dominates the mutual coherence term and fixes a lower bound for it. In other words, for a class of regular sampling patterns, we provide a lower bound for the inner product of the columns of the sensing matrix that can be analytically computed. We verify numerically our theoretical results and show that the lower bound for the mutual coherence is larger than Welch bound. Besides, we provide algorithms that can achieve the lower bound for spherical harmonics.

Highlights

  • In many applications, the goal is to recover a function defined on a group, say on the sphere S2 and the rotation group SO(3), from only a few samples [7,8,9,10,27]

  • It was numerically shown that for regular sampling points on the elevation for Wigner D-functions and spherical harmonics, the mutual coherence is lower bounded by the inner product of columns with zero orders and two largest degrees,1 which are equal to Legendre polynomials

  • – We show that the product of Wigner D-functions can be written as a linear combination of single Legendre polynomials and Wigner 3j symbols

Read more

Summary

Introduction

The goal is to recover a function defined on a group, say on the sphere S2 and the rotation group SO(3), from only a few samples [7,8,9,10,27]. It was numerically shown that for regular sampling points on the elevation for Wigner D-functions and spherical harmonics, the mutual coherence is lower bounded by the inner product of columns with zero orders and two largest degrees, which are equal to Legendre polynomials. This bound is not contrived because one can show that this bound is achievable by optimizing azimuth angle φ ∈ [0, 2π ). To the best of our knowledge, this work is the first to provide the coherence analysis of a sensing matrix using the tools from angular momentum in quantum mechanics

Related works
11 Page 4 of 39
Summary of contributions
Notation
Wigner D-functions
11 Page 6 of 39
Problem formulation
11 Page 8 of 39
Product of Wigner D-functions
Main results
Finite sum of Legendre polynomials
11 Page 12 of 39
Inequalities for Wigner 3j symbols
11 Page 14 of 39
Experimental results
Numerical verification of theoretical results
Comparison with Welch bound and designing sampling patterns
11 Page 16 of 39
11 Page 18 of 39
Proof of the main theorem
11 Page 20 of 39
Proofs of lemmas and proposition
11 Page 24 of 39
11 Page 26 of 39
11 Page 28 of 39
11 Page 30 of 39
A remark on norms of the columns
11 Page 32 of 39
10.1.1 Derivatives of spherical harmonics
10.1.2 Derivative of Wigner D-functions
10.2 Hypergeometric polynomials
11 Page 36 of 39
10.3.1 Bernoulli summation
10.3.2 Abel partial summation
11 Page 38 of 39
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.