Table of Contents
19 relations: Cosmology, Definite matrix, Discrete Fourier transform, Eigenvalues and eigenvectors, Fourier analysis, Fourier transform, Frequency, Geophysics, Matrix (mathematics), Multitaper, Orthogonality, Periodic function, Sampling (signal processing), Sequence, Sidelobes, Spectral band, Spectral density estimation, Spherical harmonics, Symmetry.
Cosmology
Cosmology is a branch of physics and metaphysics dealing with the nature of the universe, the cosmos.
See Spectral concentration problem and Cosmology
Definite matrix
In mathematics, a symmetric matrix \ M\ with real entries is positive-definite if the real number \ \mathbf^\top M \mathbf\ is positive for every nonzero real column vector \ \mathbf\, where \ \mathbf^\top\ is the row vector transpose of \ \mathbf ~. More generally, a Hermitian matrix (that is, a complex matrix equal to its conjugate transpose) is positive-definite if the real number \ \mathbf^* M \mathbf\ is positive for every nonzero complex column vector \ \mathbf\, where \ \mathbf^*\ denotes the conjugate transpose of \ \mathbf ~.
See Spectral concentration problem and Definite matrix
Discrete Fourier transform
In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency. Spectral concentration problem and discrete Fourier transform are Fourier analysis.
See Spectral concentration problem and Discrete Fourier transform
Eigenvalues and eigenvectors
In linear algebra, an eigenvector or characteristic vector is a vector that has its direction unchanged by a given linear transformation.
See Spectral concentration problem and Eigenvalues and eigenvectors
Fourier analysis
In mathematics, Fourier analysis is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions.
See Spectral concentration problem and Fourier analysis
Fourier transform
In physics, engineering and mathematics, the Fourier transform (FT) is an integral transform that takes a function as input and outputs another function that describes the extent to which various frequencies are present in the original function. Spectral concentration problem and Fourier transform are Fourier analysis.
See Spectral concentration problem and Fourier transform
Frequency
Frequency (symbol f), most often measured in hertz (symbol: Hz), is the number of occurrences of a repeating event per unit of time.
See Spectral concentration problem and Frequency
Geophysics
Geophysics is a subject of natural science concerned with the physical processes and physical properties of the Earth and its surrounding space environment, and the use of quantitative methods for their analysis.
See Spectral concentration problem and Geophysics
Matrix (mathematics)
In mathematics, a matrix (matrices) is a rectangular array or table of numbers, symbols, or expressions, with elements or entries arranged in rows and columns, which is used to represent a mathematical object or property of such an object.
See Spectral concentration problem and Matrix (mathematics)
Multitaper
In signal processing, multitaper analysis is a spectral density estimation technique developed by David J. Thomson. Spectral concentration problem and multitaper are signal processing.
See Spectral concentration problem and Multitaper
Orthogonality
In mathematics, orthogonality is the generalization of the geometric notion of perpendicularity.
See Spectral concentration problem and Orthogonality
Periodic function
A periodic function or cyclic function, also called a periodic waveform (or simply periodic wave), is a function that repeats its values at regular intervals or periods. Spectral concentration problem and periodic function are Fourier analysis.
See Spectral concentration problem and Periodic function
Sampling (signal processing)
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. Spectral concentration problem and sampling (signal processing) are signal processing.
See Spectral concentration problem and Sampling (signal processing)
Sequence
In mathematics, a sequence is an enumerated collection of objects in which repetitions are allowed and order matters.
See Spectral concentration problem and Sequence
Sidelobes
In antenna engineering, sidelobes are the lobes (local maxima) of the far field radiation pattern of an antenna or other radiation source, that are not the main lobe.
See Spectral concentration problem and Sidelobes
Spectral band
Spectral bands are regions of a given spectrum, having a specific range of wavelengths or frequencies.
See Spectral concentration problem and Spectral band
Spectral density estimation
In statistical signal processing, the goal of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density) of a signal from a sequence of time samples of the signal.
See Spectral concentration problem and Spectral density estimation
Spherical harmonics
In mathematics and physical science, spherical harmonics are special functions defined on the surface of a sphere. Spectral concentration problem and spherical harmonics are Fourier analysis.
See Spectral concentration problem and Spherical harmonics
Symmetry
Symmetry in everyday life refers to a sense of harmonious and beautiful proportion and balance.
See Spectral concentration problem and Symmetry