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Continuous wavelets of compact support alpha can be built, which are related to the beta distribution. The process is derived from probability distributions
Beta_wavelet
Function for integral Fourier-like transform
wavelet Legendre wavelet Villasenor wavelet Symlet Beta wavelet Hermitian wavelet Meyer wavelet Mexican hat wavelet Poisson wavelet Shannon wavelet Spline
Wavelet
Functions used by the continuous wavelet transform
wavelet Shannon wavelet Meyer wavelet Difference of Gaussians Hermitian wavelet Beta wavelet Causal wavelet μ wavelets Cauchy wavelet Addison wavelet
Continuous_wavelet
Probability distribution
while wavelets are applicable to non-stationary processes. Continuous wavelets can be constructed based on the beta distribution. Beta wavelets can be
Beta_distribution
Mathematical activation function in data analysis
\operatorname {swish} _{\beta }(x)=x\operatorname {sigmoid} (\beta x)={\frac {x}{1+e^{-\beta x}}}.} where β {\displaystyle \beta } can be constant (usually
Swish_function
Numerical analysis of EEG data
extended to the analysis of electroencephalography (EEG). These include wavelet analysis and Fourier analysis, with new focus on shared activity between
Quantitative electroencephalography
Quantitative_electroencephalography
Process of removing noise from a signal
preservation using the wavelet filter banks. In this context, wavelet-based methods are of particular interest. In the wavelet domain, the noise is uniformly
Noise_reduction
Concept in linear algebra
wavelet basis and Fourier basis, to obtain an overcomplete frame. Enlarge the range of parameters in some frame, such as in Gabor frame and wavelet frame
Overcompleteness
Prediction of digital video quality
c_{x}} is the complex wavelet transform of the signal x {\displaystyle x} and c y {\displaystyle c_{y}} is the complex wavelet transform for the signal
Structural similarity index measure
Structural_similarity_index_measure
Digital signal filter
x = α n + β {\displaystyle x=\alpha n+\beta } , and this is all that can be done with a fourth-order wavelet. Six terms will be needed to vanish a quadratic
Quadrature_mirror_filter
Class of statistical models
{\displaystyle {\boldsymbol {\beta }}^{(t+1)}={\boldsymbol {\beta }}^{(t)}+{\mathcal {J}}^{-1}({\boldsymbol {\beta }}^{(t)})u({\boldsymbol {\beta }}^{(t)}),} where
Generalized_linear_model
Probability distribution
{\displaystyle g(\beta )=1+{\frac {\psi (1/\beta )}{\beta }}-{\frac {L_{\beta }}{S_{\beta }}}+{\frac {\log({\frac {\beta }{N}}S_{\beta })}{\beta }},} g ′ ( β
Generalized normal distribution
Generalized_normal_distribution
distribution Binomial proportion confidence interval Binomial-QMF (Daubechies wavelet filters) Binomial series Binomial theorem Binomial transform Binomial type
List of factorial and binomial topics
List_of_factorial_and_binomial_topics
Type of artificial neural network
networks, fuzzy inference systems, Fourier series, Laplacian transform, wavelet networks, etc. One significant achievement made in those years is to successfully
Extreme_learning_machine
Digital painting and 2D animation software
detection, sobel, sharpen, mean removal, unsharp mask, gaussian noise removal, wavelet noise reducer, emboss horizontal only/in all directions/(laplacian)/vertical
Krita
Mathematical operation
time is described by Somma. The Fractional wavelet transform (FRWT) is a generalization of the classical wavelet transform in the fractional Fourier transform
Fractional_Fourier_transform
Inverse of the average of the inverses of a set of numbers
β > 1 & α > 0 {\displaystyle H_{1-X}={\frac {\beta -1}{\alpha +\beta -1}}{\text{ conditional on }}\beta >1\,\,\&\,\,\alpha >0} This harmonic mean with
Harmonic_mean
Time-series clustering method
methods, in particular, the Variational Kalman Filtering and the Variational Wavelet Regression. In the original paper, a dynamic topic model is applied to
Dynamic_topic_model
Statistical model for a binary dependent variable
{\beta }}\cdot {\boldsymbol {x}}}}{1+b^{{\boldsymbol {\beta }}\cdot x}}}={\frac {b^{\beta _{0}+\beta _{1}x_{1}+\beta _{2}x_{2}}}{1+b^{\beta _{0}+\beta _{1}x_{1}+\beta
Logistic_regression
Statistical modeling method
ε n ] . {\displaystyle {\boldsymbol {\beta }}={\begin{bmatrix}\beta _{0}\\\beta _{1}\\\beta _{2}\\\vdots \\\beta _{p}\end{bmatrix}},\quad {\boldsymbol
Linear_regression
Matrix representing a Euclidean rotation
Interface '86: 77–81 Daubechies, Ingrid; Sweldens, Wim (1998), "Factoring wavelet transforms into lifting steps" (PDF), Journal of Fourier Analysis and Applications
Rotation_matrix
Set of statistical processes for estimating the relationships among variables
f(X_{i},\beta )=\beta _{0}+\beta _{1}X_{i}} , suggesting that the researcher believes Y i = β 0 + β 1 X i + e i {\displaystyle Y_{i}=\beta _{0}+\beta _{1}X_{i}+e_{i}}
Regression_analysis
Far-field diffraction
wavefront acts as a source of spherical secondary wavelets and the sum of these secondary wavelets determines the form of the proceeding wave at any subsequent
Fraunhofer_diffraction
Electrophysiological method to record electrical activity of the brain
physiological artifacts. Recent real-time algorithms based on wavelet transport called wavelet quantile normalisation (WQN) can now be used to find and replace
Electroencephalography
2023 video game
paradoxinteractive.com. Retrieved 16 April 2025. "Beach Properties Asset Pack & Modding Wavelet Patch Announcement". Paradox Interactive Forums. 18 March 2024. Retrieved
Cities:_Skylines_II
Statistics concept
3 + ⋯ + β n x n + ε . {\displaystyle y=\beta _{0}+\beta _{1}x+\beta _{2}x^{2}+\beta _{3}x^{3}+\cdots +\beta _{n}x^{n}+\varepsilon .\,} Conveniently,
Polynomial_regression
polynomials Dual q-Krawtchouk polynomials Dual space Dual topology Dual wavelet Duality (optimization) Duality (order theory) Duality of stereotype spaces
List_of_dualities
Linear regression model with a single explanatory variable
] , {\displaystyle \beta \in \left[{\widehat {\beta }}-s_{\widehat {\beta }}t_{n-2}^{*},\ {\widehat {\beta }}+s_{\widehat {\beta }}t_{n-2}^{*}\right]
Simple_linear_regression
Approximation method in statistics
{\beta }})&=f^{k}(x_{i},{\boldsymbol {\beta }})+\sum _{j}{\frac {\partial f(x_{i},{\boldsymbol {\beta }})}{\partial \beta _{j}}}\left(\beta _{j}-{\beta
Least_squares
Equation in statistical mechanics
Ornstein–Zernike equation and integral equations". cbp.tnw.utwente.nl. "Multilevel wavelet solver for the Ornstein–Zernike equation". ncsu.edu (Abstract). "Analytical
Ornstein–Zernike_equation
Discrete probability distribution
clumping Poisson point process Poisson regression Poisson sampling Poisson wavelet Queueing theory Renewal theory Robbins lemma Skellam distribution Tweedie
Poisson_distribution
cannot be treated as linear systems, using Fourier transformation and wavelet analysis. Nonlinear systems will have chaotic behavior, limit cycle, steady
Non-linear multi-dimensional signal processing
Non-linear_multi-dimensional_signal_processing
Statistical methods for comparing samples
{\displaystyle |p_{1}-p_{2}|} , power π = ( 1 − β ) {\displaystyle \pi =(1-\beta )} , and type I error α {\displaystyle \alpha } ), we define that n 1 = κ
Two-proportion_Z-test
Function related to statistics and probability theory
=\mathbf {X} \beta +u} , the coefficient vector could be partitioned into β = [ β 1 : β 2 ] {\textstyle \beta =\left[\beta _{1}:\beta _{2}\right]} (and
Likelihood_function
Generalization of the one-dimensional normal distribution to higher dimensions
2 / ( 2 β 2 ) {\displaystyle \mu _{\beta }(\mathbf {t} )=(2\pi \beta ^{2})^{-k/2}e^{-|\mathbf {t} |^{2}/(2\beta ^{2})}} . The test statistic is T β =
Multivariate normal distribution
Multivariate_normal_distribution
Class of statistical survival models
_{0}(t)\exp(\beta _{1}(x+1))\\&=\lambda _{0}(t)\exp(\beta _{1}x+\beta _{1})\\&={\Bigl (}\lambda _{0}(t)\exp(\beta _{1}x){\Bigr )}\exp(\beta _{1})\\&=\lambda
Proportional_hazards_model
Polynomial sequence
sequence. The polynomials arise in: signal processing as Hermitian wavelets for wavelet transform analysis probability, such as the Edgeworth series, as
Hermite_polynomials
Function used in signal processing
ISBN 978-0-262-18215-7. Cattani, Carlo; Rushchitsky, Jeremiah (2007). Wavelet and Wave Analysis As Applied to Materials With Micro Or Nanostructure.
Window_function
independent Yes/No experiments all with the same probability of success. The beta-binomial distribution, which describes the number of successes in a series
List of probability distributions
List_of_probability_distributions
Measure of statistical dispersion
Charles Griffin and Company. pp. 147–148. Bertil., Westergren (1988). Beta [beta] mathematics handbook : concepts, theorems, methods, algorithms, formulas
Interquartile_range
Statistical hypothesis test
T n − 2 {\displaystyle t_{\text{score}}={\frac {{\hat {\beta }}-\beta _{0}}{SE_{\hat {\beta }}}}\sim {\mathcal {T}}_{n-2}} has a t-distribution with
Student's_t-test
Statistical model for count data
))=\alpha +\mathbf {\beta } '\mathbf {x} ,} where α ∈ R {\displaystyle \alpha \in \mathbb {R} } and β ∈ R n {\displaystyle \mathbf {\beta } \in \mathbb {R}
Poisson_regression
Science of characterizing uncertainties
Karhunen–Loeve expansions (KLE), with polynomial chaos expansion (PCE) and wavelet expansions as special cases. Most probable point (MPP)-based methods: first-order
Uncertainty_quantification
Method of statistical analysis
{\boldsymbol {\beta }}})+({\boldsymbol {\beta }}-{\hat {\boldsymbol {\beta }}})^{\mathsf {T}}(\mathbf {X} ^{\mathsf {T}}\mathbf {X} )({\boldsymbol {\beta }}-{\hat
Bayesian_linear_regression
Generates a forecast of future values of a time series
{\begin{aligned}s_{t}&=\alpha x_{t}+(1-\alpha )(s_{t-1}+b_{t-1})\\b_{t}&=\beta (s_{t}-s_{t-1})+(1-\beta )b_{t-1}\\\end{aligned}}} where α {\displaystyle \alpha } (
Exponential_smoothing
Gelobter. Daubechies wavelet Ingrid Daubechies introduced the Daubechies wavelet and contributed to the development of the CDF wavelet, important tools in
List of inventions and discoveries by women
List_of_inventions_and_discoveries_by_women
Time series model
_{t-q}^{2}+\beta _{1}\sigma _{t-1}^{2}+\cdots +\beta _{p}\sigma _{t-p}^{2}=\omega +\sum _{i=1}^{q}\alpha _{i}\epsilon _{t-i}^{2}+\sum _{i=1}^{p}\beta _{i}\sigma
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Term in statistical hypothesis testing
true. It is commonly denoted by 1 − β {\displaystyle 1-\beta } , where β {\displaystyle \beta } is the probability of making a type II error (a false
Power_(statistics)
Probability distribution on a sphere
Mardia, & R.E. Walls (Eds.), Quantitative Biology, Shape Analysis, and Wavelets, pp. 57–60. Leeds, Leeds University Press. Mardia, K. V. M., Jupp, P. E
Kent_distribution
Concepts from statistical hypothesis testing
hypothesis. The rate of the type II error is denoted by the Greek letter β (beta) and related to the power of a test, which equals 1−β.[citation needed] These
Type_I_and_type_II_errors
Statistical linear model
2 + … + β p X i p + ϵ i {\displaystyle Y_{i}=\beta _{0}+\beta _{1}X_{i1}+\beta _{2}X_{i2}+\ldots +\beta _{p}X_{ip}+\epsilon _{i}} or more compactly Y
General_linear_model
Class of cell surface receptors coupled to G-protein-associated intracellular signaling
concept of Chou's pseudo amino acid composition: an approach from discrete wavelet transform". Analytical Biochemistry. 390 (1): 68–73. doi:10.1016/j.ab.2009
G_protein-coupled_receptor
Irregular beating of the atria of the heart
focus would not be established. In multiple wavelet theory, a wavefront will break into smaller daughter wavelets when encountering an obstacle, through a
Atrial_fibrillation
Statistical principle
_{i=1}^{n}\left({1 \over \beta -\alpha }\right)\mathbf {1} _{\{\alpha \leq x_{i}\leq \beta \}}=\left({1 \over \beta -\alpha }\right)^{n}\mathbf {1}
Sufficient_statistic
Constellation in the northern celestial hemisphere
Canadian Meteor Orbit Radar: II: Identification of minor showers using a 3D wavelet transform". Icarus. 207 (1): 66–81. Bibcode:2010Icar..207...66B. doi:10
Boötes
Statistical phenomenon
_{\alpha ,\,\beta }Q(\alpha ,\beta )} , where Q ( α , β ) = ∑ i = 1 n ε ^ i 2 = ∑ i = 1 n ( y i − α − β x i ) 2 {\displaystyle Q(\alpha ,\beta )=\sum _{i=1}^{n}{\hat
Regression_toward_the_mean
Kth smallest value in a statistical sample
distribution is a beta-distributed random variable. U ( k ) ∼ Beta ( k , n + 1 − k ) . {\displaystyle U_{(k)}\sim \operatorname {Beta} (k,n+1\mathbf {-}
Order_statistic
Branch of statistics mathematics
approximated process： Other popular bases include spline, Fourier series and wavelet bases. Important applications of FPCA include the modes of variation and
Functional_data_analysis
the signal by some kind of optimization procedure. Algorithms include wavelet methods, and total variation denoising which uses methods from convex optimization
Step_detection
Middle quantile of a data set or probability distribution
β − 1 ) ! {\displaystyle \mathrm {B} (\alpha ,\beta )={\frac {(\alpha -1)!(\beta -1)!}{(\alpha +\beta -1)!}}} . Also, recall that f ( v ) d v = d F (
Median
Distribution of an uncertain quantity
expressed as hyperprior probability distributions. For example, if one uses a beta distribution to model the distribution of the parameter p of a Bernoulli
Prior_probability
Artificial neural network node function
Abdourrahmane M.; Pastor, Dominique; Mercier, Grégoire (2008), "Smooth sigmoid wavelet shrinkage for non-parametric estimation" (PDF), 2008 IEEE International
Activation_function
Family of probability distributions related to the normal distribution
exponential families includes the following: normal exponential gamma chi-squared beta Dirichlet Bernoulli categorical Poisson Wishart inverse Wishart geometric
Exponential_family
Instantaneous rate of change (mathematics)
ISBN 978-981-99-2935-1, S2CID 259885793 Debnath, Lokenath; Shah, Firdous Ahmad (2015), Wavelet Transforms and Their Applications (2nd ed.), Birkhäuser, doi:10.1007/978-0-8176-8418-1
Derivative
Television transmitted over a computer network
Ping (2006). Proceedings of the International Computer Conference 2006 on Wavelet Active Media Technology and Information Processing: Chongqing, China, 29-31
Internet_Protocol_television
Measure of linear correlation
{\tfrac {n-2}{2}}\right)}}}},} where B {\displaystyle \mathrm {B} } is the beta function, which is one way of writing the density of a Student's t-distribution
Pearson correlation coefficient
Pearson_correlation_coefficient
Field of mathematics and science based on non-linear systems and initial conditions
2013). "Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory". Transportation Research Part C:
Chaos_theory
Medical imaging technique
distribution leading to ℓ 1 {\displaystyle \ell _{1}} -based regularization in a wavelet or other domain), such as via Ulf Grenander's Sieve estimator or via Bayes
Positron_emission_tomography
Statistical property of collections of time series data
value of β {\displaystyle \beta } and u t {\displaystyle u_{t}} . In other words: y t − β x t = u t {\displaystyle y_{t}-\beta x_{t}=u_{t}\,} where u t
Cointegration
distinct mechanisms. Wind blowing over the surface generates tiny wavelets. These wavelets develop over time and become ocean surface waves by absorbing the
Miles-Phillips_mechanism
Probabilistic problem-solving algorithm
Jakl, Tomas. "Arimaa challenge – comparison study of MCTS versus alpha-beta methods" (PDF). Arimaa.com. Retrieved October 28, 2017. Szirmay-Kalos 2008
Monte_Carlo_method
Doubling map on the unit interval
provided by the Haar basis, and the functions spanning the space are the Haar wavelets. In this case, one finds a continuous spectrum, consisting of the unit
Dyadic_transformation
Study of high-dimensional data
model y = x ⊤ β + ϵ , {\displaystyle y=x^{\top }\beta +\epsilon ,} where β ∈ R p {\displaystyle \beta \in \mathbb {R} ^{p}} is an unknown parameter vector
High-dimensional_statistics
Statistical method
2 + β 4 c i 3 + ε , {\displaystyle Y=\alpha +\beta _{1}x_{i}+\beta _{2}c_{i}+\beta _{3}c_{i}^{2}+\beta _{4}c_{i}^{3}+\varepsilon ,} where x i = { 1 if
Regression discontinuity design
Regression_discontinuity_design
Statistical property
equation y i = x i β i + ε i , i = 1 , … , N , {\displaystyle y_{i}=x_{i}\beta _{i}+\varepsilon _{i},\ i=1,\ldots ,N,} where the dependent random variable
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Probability distribution
{t^{2}}{\nu }}\right)^{-(\nu +1)/2},} where B {\displaystyle \mathrm {B} } is the beta function. In particular, for positive integer-valued degrees of freedom ν
Student's_t-distribution
Mathematical function for the probability a given outcome occurs in an experiment
F_{\text{discrete}}+\beta F_{\text{ac}}+\gamma F_{\text{singular}}} where coefficients α , β , γ ∈ [ 0 , 1 ] {\displaystyle \alpha ,\beta ,\gamma \in [0,1]}
Probability_distribution
Digital image capture for film
DigiBeta, HDCAM, Apple ProRes, Avid DNxHD, MPEG, Advanced Video Coding (AVC) and AVCHD. An alternative to DCT coding is JPEG 2000 discrete wavelet transform
Digital_cinematography
Redcode Raw (.r3d) is a proprietary file format that initially employed wavelet compression to reduce the raw data coming off the sensor. This allows reduced
List of Red Digital Cinema cameras
List_of_Red_Digital_Cinema_cameras
Medical condition
chaotic wavelets rotate, or re-enter, within the muscle of the heart, continually extinguishing and reforming. The volume of tissue in which each wavelet can
Short_QT_syndrome
Type of geometric algebra
ISBN 1-84996-107-7 pp. 3–90 Bayro-Corrochano (2010), Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action. Springer Verlag
Conformal_geometric_algebra
Theoretically optimal hypothesis test
is a hypothesis test which has the greatest power 1 − β {\displaystyle 1-\beta } among all possible tests of a given size α. For example, according to the
Uniformly_most_powerful_test
Wavelength Wavelength selective switching Wavelength-division multiplexing Wavelet Wavelet transform Wavenumber Zonal wavenumber Wavenumber-frequency diagram
Index_of_wave_articles
Type of polynomial used in Numerical Analysis
interpolation Newton form Lagrange form Binomial QMF (also known as Daubechies wavelet) Lorentz 1953 Mathar, R.J. (2018). "Orthogonal basis function over the
Bernstein_polynomial
Statistical considerations on how many observations to make
{\displaystyle \Pr({\bar {x}}>z_{\alpha }\sigma /{\sqrt {n}}\mid H_{a})\geq 1-\beta } Through careful manipulation, this can be shown (see Statistical power
Sample_size_determination
Statistical measure of the magnitude of a phenomenon
} As a statistical parameter, SSMD (denoted as β {\displaystyle \beta } ) is defined as the ratio of mean to standard deviation of the difference
Effect_size
Iterative simulation method
"Pathological Brain Detection in Magnetic Resonance Imaging Scanning by Wavelet Entropy and Hybridization of Biogeography-based Optimization and Particle
Particle_swarm_optimization
Comparison of two distributions
Standards and Technology Blom, G. (1958), Statistical estimates and transformed beta variables, New York: John Wiley and Sons Chambers, John; Cleveland, William;
Q–Q_plot
Type of statistical model
i p ) + ε i i = 1 , … , n {\displaystyle Y_{i}=\beta _{0}+\beta _{1}\phi _{1}(X_{i1})+\cdots +\beta _{p}\phi _{p}(X_{ip})+\varepsilon _{i}\qquad i=1
Linear_model
Mathematical space used to study hyperbolic geometry
Math. Vol. 38, No. 2, 2008, 33–39 M Ferreira (2008), Spherical continuous wavelet transforms arising from sections of the Lorentz group, Applied and Computational
Gyrovector_space
Class of statistical estimators
{\displaystyle ({\hat {\beta }}_{n},{\hat {\gamma }}_{n}):=\mathop {\arg \max } _{\beta ,\gamma }\sum _{i=1}^{N}\displaystyle q(w_{i},\beta ,\gamma )} Assuming
M-estimator
Parameter estimation via sample statistics
{\displaystyle {\hat {\beta }}_{\mathrm {OLS} }\in \mathrm {arg} \min _{\beta \in \mathbb {R} ^{p}}\sum _{i=1}^{n}\left(Y_{i}-\beta _{0}-X_{i,1}\beta _{1}-\dots -X_{i
Point_estimation
Distinction between nominal, ordinal, interval and ratio variables
Spectral density estimation Fourier analysis Least-squares spectral analysis Wavelet Whittle likelihood Survival Survival function Kaplan–Meier estimator (product
Level_of_measurement
Technique used in signal processing and data compression
polyphase filtering banks, lapped orthogonal transform and cosine-modulated wavelet bases. DCT plays an important role in digital signal processing specifically
Discrete_cosine_transform
alternative definitions to the dyadic derivatives. Walsh function Haar wavelet Harmonic analysis Walsh transform Engels, W. (1985). "On the characterization
Dyadic_derivative
frequency domain, which can be alleviated with smoother windows. Uncertainty principle Jian-Jiun Ding (2014) Time-frequency analysis and wavelet transform
Rectangular mask short-time Fourier transform
Rectangular_mask_short-time_Fourier_transform
Processing quantum-encoded images
commonly used image transforms (e.g., the Fourier, Hadamard, and Haar wavelet transforms) can be expressed in the form G = P F Q {\displaystyle G=PFQ}
Quantum_image_processing
Set of functions used to represent the electronic wave function
including finite elements, basis splines, Lagrange sinc-functions, and wavelets. Finite difference algorithms are also often included in this category
Basis_set_(chemistry)
Type of vector space in math
Bachman, George; Narici, Lawrence; Beckenstein, Edward (2000), Fourier and wavelet analysis, Universitext, Berlin, New York: Springer-Verlag, ISBN 978-0-387-98899-3
Hilbert_space
Stochastic process with applications to finance
These Shocks for Real? Sensitivity Analysis of the Significance of the Wavelet Response to Some CKLS Processes". International Journal of Financial Studies
Chan–Karolyi–Longstaff–Sanders process
Chan–Karolyi–Longstaff–Sanders_process
BETA WAVELET
BETA WAVELET
Boy/Male
Scottish Shakespearean
Son of Beth.
Female
Spanish
 Short form of Spanish Aleta, LETA means "winged." Compare with another form of Leta.
Female
Native American
 Native American Blackfoot name PETA means "golden eagle." Compare with another form of Peta.
Boy/Male
Hindu, Indian, Sanskrit
Emperor; Single Beat
Female
Italian
 Variant spelling of Italian Zita, ZETA means "little girl." Compare with another form of Zeta.
Female
Hebrew
(× Ö¶×˜Ö·×¢) Hebrew unisex name NETA means meaning "plant, shrub."
Female
Polish
Polish form of Greek Elisabet, ELŻBIETA means "God is my oath."
Female
English
Short form of English Beatrix, BEA means "voyager (through life)."Â
Boy/Male
Bengali, Hindu, Indian, Sanskrit
Heart Beat
Female
German
Short form of German Margarete, META means "pearl."
Female
Polish
Polish name derived from Latin beatus, BEATA means "blessed."Â
Girl/Female
Indian, Marathi
Our Heart Beat
Girl/Female
Greek Hebrew English
From the Hebrew Elisheba, meaning either oath of God, or God is satisfaction. Famous bearer: Old...
Male
Hebrew
(בֶּלַע) Hebrew name BELA means "destruction." In the bible, this is the name of several characters, including a king of Edom.
Female
English
English name derived from the second letter of the Greek alphabet, beta, related to Hebrew bet, BETA means "house."Â
Female
English
Short form of English Elizabeth, BETH means "God is my oath."Â
Biblical
Beth (Hebrew)|house of the sun
Female
Hungarian
Hungarian form of Greek Elisabet, ERZSÉBET means "God is my oath."
Female
English
Czech and Polish form of German Bertha, BERTA means "bright."
Female
English
Short form of English Elizabeth, BET means "God is my oath."Â
BETA WAVELET
BETA WAVELET
Male
Hungarian
 Variant spelling of Hungarian András, ANDOR means "man; warrior." Compare with another form of Andor.
Boy/Male
Indian, Tamil
God of Flower
Girl/Female
Tamil
Pragathi | பராகதீÂ
Progress
Girl/Female
French American
Singer. To sing. Song.
Boy/Male
Hebrew Italian
God is high.
Boy/Male
English
Famous
Girl/Female
Indian, Sanskrit
Uthaman; Wife of Aswatthama
Male
Scottish
Scottish Gaelic form of Greek Georgios, DEÃ’RSA means "earth-worker, farmer."
Boy/Male
English
Steward; bailiff.
Surname or Lastname
English
English : metronymic from Emmett.
BETA WAVELET
BETA WAVELET
BETA WAVELET
BETA WAVELET
BETA WAVELET
v. t.
That on which bets are laid; the subject of a bet.
n.
A sudden swelling or reenforcement of a sound, recurring at regular intervals, and produced by the interference of sound waves of slightly different periods of vibrations; applied also, by analogy, to other kinds of wave motions; the pulsation or throbbing produced by the vibrating together of two tones not quite in unison. See Beat, v. i., 8.
v. t.
To strike repeatedly; to lay repeated blows upon; as, to beat one's breast; to beat iron so as to shape it; to beat grain, in order to force out the seeds; to beat eggs and sugar; to beat a drum.
v. t.
To beat.
n.
The rise or fall of the hand or foot, marking the divisions of time; a division of the measure so marked. In the rhythm of music the beat is the unit.
n.
The common beet (Beta vulgaris).
imp. & p. p.
of Bet
v. t.
To beat thoroughly or severely.
imp.
of Beat
v. t.
To beat severely.
p. p.
of Beat
n.
A recurring stroke; a throb; a pulsation; as, a beat of the heart; the beat of the pulse.
v. t.
To give the signal for, by beat of drum; to sound by beat of drum; as, to beat an alarm, a charge, a parley, a retreat; to beat the general, the reveille, the tattoo. See Alarm, Charge, Parley, etc.
v. i.
A round or course which is frequently gone over; as, a watchman's beat.
v. i.
To make a sound when struck; as, the drums beat.
v. i.
To make a succession of strokes on a drum; as, the drummers beat to call soldiers to their quarters.
pl.
of Seta
v. i.
A cheat or swindler of the lowest grade; -- often emphasized by dead; as, a dead beat.