Generalized pencil-of-function method, the Glossary
Generalized pencil-of-function method (GPOF), also known as matrix pencil method, is a signal processing technique for estimating a signal or extracting information with complex exponentials.[1]
Table of Contents
45 relations: Angular frequency, Antenna (radio), Band-pass filter, Complex number, Computational electromagnetics, Conjugate transpose, Cramér–Rao bound, Damping, Diagonal matrix, Digital filter, Eigendecomposition of a matrix, Eigenvalues and eigenvectors, Electrical engineering, Estimation of signal parameters via rotational invariance techniques, Exponential function, Finite impulse response, Green's function, IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Signal Processing, Infinite impulse response, Least squares, Matrix pencil, Method of moments (electromagnetics), Microwave engineering, Monolithic microwave integrated circuit, Moore–Penrose inverse, Moving target indication, MUSIC (algorithm), Noise (signal processing), Prony's method, Radar signal characteristics, Residue (complex analysis), Sampling (signal processing), Scattering parameters, Series acceleration, Signal processing, Signal-to-noise ratio, Significant figures, Singular value, Singular value decomposition, Tapan Sarkar, Unitary matrix, Z-transform, Zeros and poles.
- Computational electromagnetics
- Radar signal processing
- Signal estimation
Angular frequency
In physics, angular frequency (symbol ω), also called angular speed and angular rate, is a scalar measure of the angle rate (the angle per unit time) or the temporal rate of change of the phase argument of a sinusoidal waveform or sine function (for example, in oscillations and waves).
See Generalized pencil-of-function method and Angular frequency
Antenna (radio)
In radio engineering, an antenna (American English) or aerial (British English) is the interface between radio waves propagating through space and electric currents moving in metal conductors, used with a transmitter or receiver.
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Band-pass filter
A band-pass filter or bandpass filter (BPF) is a device that passes frequencies within a certain range and rejects (attenuates) frequencies outside that range.
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Complex number
In mathematics, a complex number is an element of a number system that extends the real numbers with a specific element denoted, called the imaginary unit and satisfying the equation i^.
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Computational electromagnetics
Computational electromagnetics (CEM), computational electrodynamics or electromagnetic modeling is the process of modeling the interaction of electromagnetic fields with physical objects and the environment using computers.
See Generalized pencil-of-function method and Computational electromagnetics
Conjugate transpose
In mathematics, the conjugate transpose, also known as the Hermitian transpose, of an m \times n complex matrix \mathbf is an n \times m matrix obtained by transposing \mathbf and applying complex conjugation to each entry (the complex conjugate of a+ib being a-ib, for real numbers a and b).
See Generalized pencil-of-function method and Conjugate transpose
Cramér–Rao bound
In estimation theory and statistics, the Cramér–Rao bound (CRB) relates to estimation of a deterministic (fixed, though unknown) parameter.
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Damping
In physical systems, damping is the loss of energy of an oscillating system by dissipation.
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Diagonal matrix
In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero; the term usually refers to square matrices.
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Digital filter
In signal processing, a digital filter is a system that performs mathematical operations on a sampled, discrete-time signal to reduce or enhance certain aspects of that signal.
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Eigendecomposition of a matrix
In linear algebra, eigendecomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors.
See Generalized pencil-of-function method and Eigendecomposition of a matrix
Eigenvalues and eigenvectors
In linear algebra, an eigenvector or characteristic vector is a vector that has its direction unchanged by a given linear transformation.
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Electrical engineering
Electrical engineering is an engineering discipline concerned with the study, design, and application of equipment, devices, and systems which use electricity, electronics, and electromagnetism.
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Estimation of signal parameters via rotational invariance techniques
Estimation of signal parameters via rotational invariant techniques (ESPRIT), is a technique to determine the parameters of a mixture of sinusoids in background noise. Generalized pencil-of-function method and Estimation of signal parameters via rotational invariance techniques are signal estimation.
Exponential function
The exponential function is a mathematical function denoted by f(x).
See Generalized pencil-of-function method and Exponential function
Finite impulse response
In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time.
See Generalized pencil-of-function method and Finite impulse response
Green's function
In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions.
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IEEE Transactions on Antennas and Propagation
IEEE Transactions on Antennas and Propagation is a peer-reviewed scientific journal published by the IEEE Antennas & Propagation Society.
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IEEE Transactions on Microwave Theory and Techniques
IEEE Transactions on Microwave Theory and Techniques (T-MTT) is a monthly peer-reviewed scientific journal with a focus on that part of engineering and theory associated with microwave/millimeter-wave technology and components, electronic devices, guided wave structures and theory, electromagnetic theory, and Radio Frequency Hybrid and Monolithic Integrated Circuits, including mixed-signal circuits, from a few MHz to THz.
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IEEE Transactions on Signal Processing
The IEEE Transactions on Signal Processing is a biweekly peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers covering research on signal processing.
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Infinite impulse response
Infinite impulse response (IIR) is a property applying to many linear time-invariant systems that are distinguished by having an impulse response h(t) that does not become exactly zero past a certain point but continues indefinitely.
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Least squares
The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each individual equation.
See Generalized pencil-of-function method and Least squares
Matrix pencil
In linear algebra, if A_0, A_1,\dots,A_\ell are n\times n complex matrices for some nonnegative integer \ell, and A_\ell \ne 0 (the zero matrix), then the matrix pencil of degree \ell is the matrix-valued function defined on the complex numbers L(\lambda).
See Generalized pencil-of-function method and Matrix pencil
Method of moments (electromagnetics)
The method of moments (MoM), also known as the moment method and method of weighted residuals, is a numerical method in computational electromagnetics. Generalized pencil-of-function method and method of moments (electromagnetics) are computational electromagnetics.
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Microwave engineering
Microwave engineering pertains to the study and design of microwave circuits, components, and systems.
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Monolithic microwave integrated circuit
Monolithic microwave integrated circuit, or MMIC (sometimes pronounced "mimic"), is a type of integrated circuit (IC) device that operates at microwave frequencies (300 MHz to 300 GHz).
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Moore–Penrose inverse
In mathematics, and in particular linear algebra, the Moore–Penrose inverse of a matrix, often called the pseudoinverse, is the most widely known generalization of the inverse matrix.
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Moving target indication
Moving target indication (MTI) is a mode of operation of a radar to discriminate a target against the clutter. Generalized pencil-of-function method and Moving target indication are radar signal processing.
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MUSIC (algorithm)
MUSIC (MUltiple SIgnal Classification) is an algorithm used for frequency estimation and radio direction finding.
See Generalized pencil-of-function method and MUSIC (algorithm)
Noise (signal processing)
In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Generalized pencil-of-function method and noise (signal processing) are signal processing.
See Generalized pencil-of-function method and Noise (signal processing)
Prony's method
Prony analysis (Prony's method) was developed by Gaspard Riche de Prony in 1795. Generalized pencil-of-function method and Prony's method are signal processing.
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Radar signal characteristics
A radar system uses a radio-frequency electromagnetic signal reflected from a target to determine information about that target. Generalized pencil-of-function method and radar signal characteristics are radar signal processing.
See Generalized pencil-of-function method and Radar signal characteristics
Residue (complex analysis)
In mathematics, more specifically complex analysis, the residue is a complex number proportional to the contour integral of a meromorphic function along a path enclosing one of its singularities.
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Sampling (signal processing)
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. Generalized pencil-of-function method and sampling (signal processing) are signal processing.
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Scattering parameters
Scattering parameters or S-parameters (the elements of a scattering matrix or S-matrix) describe the electrical behavior of linear electrical networks when undergoing various steady state stimuli by electrical signals.
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Series acceleration
In mathematics, series acceleration is one of a collection of sequence transformations for improving the rate of convergence of a series.
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Signal processing
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements.
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Signal-to-noise ratio
Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise.
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Significant figures
Significant figures, also referred to as significant digits or sig figs, are specific digits within a number written in positional notation that carry both reliability and necessity in conveying a particular quantity.
See Generalized pencil-of-function method and Significant figures
Singular value
In mathematics, in particular functional analysis, the singular values of a compact operator T: X \rightarrow Y acting between Hilbert spaces X and Y, are the square roots of the (necessarily non-negative) eigenvalues of the self-adjoint operator T^*T (where T^* denotes the adjoint of T).
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Singular value decomposition
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix into a rotation, followed by a rescaling followed by another rotation.
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Tapan Sarkar
Tapan Kumar Sarkar (August 2, 1948 – March 12, 2021) was an Indian-American electrical engineer and Professor Emeritus at the Department of Electrical Engineering and Computer Science at Syracuse University.
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Unitary matrix
In linear algebra, an invertible complex square matrix is unitary if its matrix inverse equals its conjugate transpose, that is, if U^* U.
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Z-transform
In mathematics and signal processing, the Z-transform converts a discrete-time signal, which is a sequence of real or complex numbers, into a complex valued frequency-domain (the z-domain or z-plane) representation.
See Generalized pencil-of-function method and Z-transform
Zeros and poles
In complex analysis (a branch of mathematics), a pole is a certain type of singularity of a complex-valued function of a complex variable.
See Generalized pencil-of-function method and Zeros and poles
See also
Computational electromagnetics
- Analytical regularization
- Applied Computational Electromagnetics Society Journal
- Beam propagation method
- Boundary element method
- Cagniard–De Hoop method
- Characteristic mode analysis
- Computational electromagnetics
- Computational magnetohydrodynamics
- Coupled mode theory
- Discrete dipole approximation
- Eigenmode expansion
- Electromagnetic field solver
- Ewald summation
- Finite element method
- Finite-difference frequency-domain method
- Finite-difference time-domain method
- Frequency selective surface
- Generalized pencil-of-function method
- Method of moments (electromagnetics)
- Multilevel fast multipole method
- OPTOS formalism
- Partial element equivalent circuit
- Particle-in-cell
- Perfect conductor
- Perfectly matched layer
- Plane wave expansion method
- Proper orthogonal decomposition
- Rigorous coupled-wave analysis
- Scattering-matrix method
- T-matrix method
- Transmission-line matrix method
- Uniform theory of diffraction
Radar signal processing
- Amplitude-comparison monopulse
- Anomalous propagation
- Automatic gain control
- Buckeye System
- Chirplet transform
- Coherence (physics)
- Constant false alarm rate
- Counter-IED equipment
- Digital antenna array
- Digital signal processing
- Doppler effect
- Electronic counter-countermeasure
- Frequency ambiguity resolution
- Generalized pencil-of-function method
- Johnson–Nyquist noise
- Joint Probabilistic Data Association Filter
- K-distribution
- Kampfgruppe 100
- Moving target indication
- Noise figure
- Photoacoustic Doppler effect
- Photographic Display Unit
- Probabilistic data association filter
- Pulse compression
- Pulse-Doppler radar
- Pulse-Doppler signal processing
- Radar horizon
- Radar signal characteristics
- Radar tracker
- Range gate
- Sensitivity time control
- Space-time adaptive processing
- Stationary target indication
- Time–frequency analysis
- Track algorithm
- Track-before-detect
- Vadym Slyusar
- Vladimir Varyukhin
- Wavelets
Signal estimation
- Amari distance
- Bellman filter
- Compressed sensing
- Covariance intersection
- Ensemble Kalman filter
- Estimation of signal parameters via rotational invariance techniques
- Extended Kalman filter
- Fast Kalman filter
- Filtering problem (stochastic processes)
- Generalized filtering
- Generalized pencil-of-function method
- Independent component analysis
- Invariant extended Kalman filter
- Kalman filter
- Kosambi–Karhunen–Loève theorem
- Kushner equation
- Linear prediction
- Matched filter
- Maximum likelihood sequence estimation
- Minimum mean square error
- Moving horizon estimation
- Multi-fractional order estimator
- Multitaper
- Projection filters
- Recursive Bayesian estimation
- SAMV (algorithm)
- Savitzky–Golay filter
- Smoothing problem (stochastic processes)
- Spectral density estimation
- Switching Kalman filter
- Symmetry-preserving filter
- Time–frequency representation
- Unscented transform
- Whittle likelihood
- Wiener deconvolution
- Wiener filter
- Window function
- Zakai equation
References
[1] https://en.wikipedia.org/wiki/Generalized_pencil-of-function_method
Also known as GPOF, GPOF method, Generalized pencil-of-function, Matrix pencil method, Pencil-of-function method.