Spectral shape analysis relies on the spectrum (eigenvalues and/or eigenfunctions) of the Laplace–Beltrami operator to compare and analyze geometric shapes...

Spectral line shape or spectral line profile describes the form of an electromagnetic spectrum in the vicinity of a spectral line – a region of stronger...

shape analysis to analyze and process geometric shapes. Shape analysis is the (mostly)[clarification needed] automatic analysis of geometric shapes,...

posture independent shape retrieval (see for example Spectral shape analysis). All similar triangles have the same shape. These shapes can be classified...

continuum shapes Multispectral analysis Harmonic analysis This disambiguation page lists articles associated with the title Spectral analysis. If an internal...

for use in deformable shape analysis and belongs to the group of spectral shape analysis methods. For each point in the shape, HKS defines its feature...

graph Algebraic connectivity Algebraic graph theory Spectral clustering Spectral shape analysis Estrada index Lovász theta Expander graph Weisstein,...

goal of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density)...

applications, such as the spectrum of a telephone channel. In summary, spectral analysis involves a trade-off between resolving comparable strength components...

In multivariate statistics, spectral clustering techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality...

exterior calculus Discrete Morse theory Topological combinatorics Spectral shape analysis Analysis on fractals Discrete calculus Discrete differential geometry...

Discrete calculus Discrete Morse theory Topological combinatorics Spectral shape analysis Analysis on fractals Discrete and Computational Geometry (journal) Discrete...

drumhead from the sound it makes when struck, i.e. from analysis of overtones. "Can One Hear the Shape of a Drum?" is the title of a 1966 article by Mark Kac...

variables from purely mathematical interests, and even called it 'spectral analysis' without any presentiment that it would later find application to...

noise Least-squares spectral analysis Noise spectral density Spectral density estimation Spectral efficiency Spectral leakage Spectral power distribution...

range from 58 to 270, and have been observed as early as 1968. Spectral shape analysis Electrical network Kronecker sum of discrete Laplacians Discrete...

approaches, e.g. spectral shape analysis, do not require correspondence but compare shape descriptors directly. Statistical analysis will provide measurements...

representation theory, signal processing, quantum mechanics, tidal analysis, spectral analysis, and neuroscience. The term "harmonics" originated from the Ancient...

called the maximum entropy estimate. For example, in spectral analysis the expected peak shape is often known, but in a noisy spectrum the center of...

analysis may be divided into two classes: frequency-domain methods and time-domain methods. The former include spectral analysis and wavelet analysis;...

"Operational Modal Analysis vs Operational Deflection Shape". community.sw.siemens.com. Schipfors, M.; Fabbrocino, G. (2014). Operational Modal Analysis of Civil...

Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum based on a least-squares fit of sinusoids to data samples, similar...

a simple taxonomic system for asteroids based on color, albedo, and spectral shape. The three categories were labelled "C" for dark carbonaceous objects...

norm is the spectral norm. The two values do not coincide in infinite dimensions — see Spectral radius for further discussion. The spectral radius should...

the violin string. Spectral theory also underlies certain aspects of the Fourier transform of a function. Whereas Fourier analysis decomposes a function...

Gauss–Markov theorem L2 norm Least absolute deviations Least-squares spectral analysis Measurement uncertainty Orthogonal projection Proximal gradient methods...

signal that most common spectrum analyzers measure is electrical; however, spectral compositions of other signals, such as acoustic pressure waves and optical...

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called...

Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part...

Analysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA...