Academic Thesis

Basic information

Name Tsuzurugi Jun
Belonging department
Occupation name
researchmap researcher code R000032409
researchmap agency Okayama University of Science

Title

Statistical-Mechanical Formulation of Gaussian-Process Reconstruction with Arbitrary Observation Masks on a Finite One-Dimensional Periodic Lattice

Bibliography Type

Sole Author

Author

Jun Tsuzurugi

Summary

We analyze how an arbitrary observation mask on a finite periodic ring of
equally spaced sensors affects the posterior covariance, Fourier-mode coupling,
and normalized posterior trace in Gaussian-process reconstruction.  Under a
rotationally stationary prior and homogeneous independent measurement noise,
complete observation gives independent scalar posterior formulas for the
Fourier modes.  For an arbitrary mask, however, the matrix
\(Q_M=F D_MF^\ast\) is generally non-diagonal; its off-diagonal entries are
finite Fourier components of the realized mask and couple modes in the
posterior precision.  Consequently, masks with the same unavailable-channel
fraction can have different normalized posterior traces because their
geometries differ.  A dimensionless 64-channel synthetic benchmark illustrates
this finite-matrix effect.  A circumferential array of equally spaced
wall-mounted microphones at a fixed axial station of a circular fan or
compressor duct provides one concrete mechanical-engineering interpretation:
failed, saturated, corrupted, or dropped-out channels form the observation
mask.  The analysis is a finite-dimensional reference calculation under the
stated rotational-stationarity and common-noise assumptions, not a performance
claim for a nonuniform or unequally instrumented operating duct.

Magazine(name)

Journal of the Physical Society of Japan

Publisher

Physical Society of Japan

Volume

95

Number Of Pages

10

StartingPage

EndingPage

Date of Issue

2026/10

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

0031-9015

DOI

10.7566/jpsj.95.104002

NAID

PMID

J-GLOBAL ID

arXiv ID

ORCID Put Code

https://orcid.org/0009-0004-6240-4550

DBLP ID