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...

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

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

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,...

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

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

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...

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

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...

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

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

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

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

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

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

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...

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...

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

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

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

cepstrum has main applications in analysis of sound and vibration signals. It is a complementary tool to spectral analysis. Sometimes it is also defined as:...

from a sinusoidal shape into a more complex shape. When considered as part of a whole spectrum, a pure tone may also be called a spectral component. In clinical...

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

The spectral correlation density (SCD), sometimes also called the cyclic spectral density or spectral correlation function, is a function that describes...

window functions used in finite impulse response filter design and spectral analysis. The Kaiser window approximates the DPSS window which maximizes the...

intensities, but also the relative positions (spectral phase) of these spectral components. For different pulse shapes, the minimum duration-bandwidth product...