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Signal processing

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BIBO stability
process control theorem
super-resolution imaging
any technique to improve resolution of an imaging system beyond conventional limits
undersampling
thumb|right|255px|Fig 1: The top 2 graphs depict Fourier transforms of 2 different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process. thumb|right|255px|Plot of sample rates (y axis) versus the upper edge frequency (x axis) for a band of width 1; grays areas are combinations that are "allowed" in the sense that no two fre
Whittaker–Shannon interpolation formula
signal (re-)construction algorithm
imaging
thumb|Comparison of two imaging modalities, optical tomography (A, C) and [[computed tomography (B, D), as applied to a Lego minifigure]]
phase response
effect of filters or amplifiers on signals' phases as function of frequency
sinc filter
idealized filter that removes all signal frequency components above a given frequency
head-related transfer function
response that characterizes how an ear receives a sound from a point in space
Nichols plot
plot
Mel-frequency cepstrum
representation of sounds used in applications such as automatic speech recognition
wideband audio
high-quality audio telephony
frame of a vector space
A generalization of a basis to sets of possibly linearly dependent vectors which also satisfy the frame condition
Analytic signal
particular representation of a signal
Group delay and phase delay
delays experienced through a linear time-invariant system
in-phase and quadrature components
mathematical technique for manipulating signals etc.
Masreliez's theorem
discrete system
system with a countable number of states
energy
signal processing concept
tomographic reconstruction
estimate object properties from a finite number of projections
zero crossing
point where a function crosses an axis and changes sign
Wigner quasiprobability distribution
used in signal processing, which is the time-frequency variant of the Wigner quasiprobability distribution
phase margin
Parameter of electronic amplifiers
upsampling
In digital signal processing, upsampling, expansion, and interpolation are terms associated with the process of resampling in a multi-rate digital signal processing system. Upsampling can be synonymous with expansion, or it can describe an entire process of expansion and filtering (interpolation). When upsampling is performed on a sequence of samples of a signal or other continuous function, it produces an approximation of the sequence that would have been obtained by sampling the signal at a higher rate (or density, as in the case of a photograph). For example, if compact disc audio at 44,100
Ergodicity
particular type of stochastic processes
field-programmable analog array
integrated device containing configurable analog blocks and interconnects between these blocks
Eb/N0
thumb|right|280px|Bit-error rate (BER) vs E_b/N_0 curves for different [[digital modulation methods is a common application example of E_b/N_0. Here an AWGN channel is assumed.]]
Blind signal separation
method for the separation of a set of signals in math and statistics
nullator
right|170px|thumb|Nullator electronic symbol In electronics, a nullator is a theoretical linear, time-invariant one-port defined as having zero current and voltage across its terminals. Nullators are strange in the sense that they simultaneously have properties of both a short (zero voltage) and an open circuit (zero current). They are neither current nor voltage sources, yet both at the same time.
Norator
right|170px|thumb|Norator electronic symbol In electronics, a norator is a theoretical linear, time-invariant one-port which can have an arbitrary current and voltage between its terminals. A norator represents a controlled voltage or current source with infinite gain.
Adaptive beamformer
signal processing system
ambiguity function
function of propagation delay and Doppler frequency, representing the distortion of a returned pulse due to the receiver matched filter of the return from a moving target
Time to digital converter
device in signal processing
Reverberation mapping
astrophysical technique
Overlap–save method
Method in signal processing
Lanczos resampling
application of a mathematical formula
Automatic link establishment
small plastic screan with 2 atchments one with HF/el . C 2008 Apple
Digital storage oscilloscope
oscilloscope that stores and analyses signals digitally
least-squares spectral analysis
frequency-domain analysis method
bit banging
using software instead of dedicated hardware to process and make use of signals
nullor
right|200px|thumb|Nullor electronic symbol (balanced version) right|200px|thumb|Nullor electronic symbol (unbalanced version)
Time–frequency analysis
techniques and methods in signal processing
Sub-band coding
Lossy audio coding technique
Wavelet packet decomposition
Signal decomposition where wavelet packet decomposition (sampled)
Periodic summation
sum of a function's values every _P_ offsets
Hilbert–Huang transform
signal analysis tool
first-order hold
mathematical model of the practical reconstruction of sampled signals that could be done by a conventional digital-to-analog converter (DAC) and an analog circuit called an integrator
Mojette Transform
exact discrete Radon transform
Overlap–add method
Method in signal processing
SAMV
parameter-free superresolution algorithm for the linear inverse problem in spectral estimation, direction-of-arrival estimation and tomographic reconstruction with applications in signal processing, medical imaging and remote sensing
sensor array
group of sensors, usually deployed in a geometric pattern, used to increase gain or dimensionality over a single sensor
Angle of arrival
radio wave analysis method
Nakagami distribution
statistical distribution
blind deconvolution
signal-processing procedure
Prony's method
mathematical method to estimate the components of a signal
ringing artifact
type of artifact in signal-processing that appears near sharp transitions
cross-covariance
In probability and statistics, given two stochastic processes \left\{X_t\right\} and \left\{Y_t\right\}, the cross-covariance is a function that gives the covariance of one process with the other at pairs of time points. With the usual notation \operatorname E for the expectation operator, if the processes have the mean functions \mu_X(t) = \operatorname \operatorname E[X_t] and \mu_Y(t) = \operatorname E[Y_t], then the cross-covariance is given by
pole–zero plot
Phase vocoder
vocoder algorithm
Apodization
thumbnail|Airy disk