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## Search Articles

1987, ISBN 0879422351, xiii, 393

.... The focus is on the statistical theory underlying the study of signals and noises in communications systems, emphasizing techniques as well s results...

Signal theory (Telecommunication) | Statistical communication theory | Signal Processing and Analysis

Signal theory (Telecommunication) | Statistical communication theory | Signal Processing and Analysis

Book

2013, Mathematical surveys and monographs, ISBN 9781470410490, Volume no. 194., xvi, 189

Book

2011, ISBN 0521198186, Volume 9780521198189, xii, 313

"Presents application of stochastic calculus to the study of noise-induced phenomena in environmental systems, for ecologists, geoscientists and environmental engineers"--
"Randomness is ubiquitous in nature...

Random noise theory | Mathematics | Geophysical prediction | Environmental sciences

Random noise theory | Mathematics | Geophysical prediction | Environmental sciences

Book

4.
Noise

1982, 2nd ed., Introductory topics in electronics and telecommunication., ISBN 9780713134599, viii, 135

Book

2005, 1. Aufl., ISBN 9780470024119, xiii, 255

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between usefulsignals...

Signal processing | Random noise theory | Stochastic processes | Waves & Wave Mechanics | Science | Communications Engineering | Frequency response (Electrical engineering) | Random variables

Signal processing | Random noise theory | Stochastic processes | Waves & Wave Mechanics | Science | Communications Engineering | Frequency response (Electrical engineering) | Random variables

Book

2006, Probability and its applications, ISBN 1846280389, xiii, 276

.... The method, which combines techniques from stochastic analysis and singular perturbation theory, allows the domains of concentration for typical sample paths to be determined, and provides precise...

Noise | Stochastic differential equations | Mathematical models | System analysis | Probabilities

Noise | Stochastic differential equations | Mathematical models | System analysis | Probabilities

Book

The Annals of statistics, ISSN 0090-5364, 8/2013, Volume 41, Issue 4, pp. 1999 - 2028

Bernstein—von Mises theorems for nonparametric Bayes priors in the Gaussian white noise model are proved...

Density estimation | Mathematical theorems | Covariance | White noise | Mathematical functions | Random variables | Nonparametric models | Frequentism | Estimators | Uniformity | Bayesian inference | Efficiency | Plug-in property | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Electric noise | Theorems | Normal distribution | Bayesian analysis | Asymptotic methods | plug-in property | 62G20 | efficiency | 62G08 | 62G15

Density estimation | Mathematical theorems | Covariance | White noise | Mathematical functions | Random variables | Nonparametric models | Frequentism | Estimators | Uniformity | Bayesian inference | Efficiency | Plug-in property | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Electric noise | Theorems | Normal distribution | Bayesian analysis | Asymptotic methods | plug-in property | 62G20 | efficiency | 62G08 | 62G15

Journal Article

1996, Probability and stochastics series, ISBN 0849380774, 378

Book

1996, Probability and stochastics series, ISBN 0849380774, 378

Book

2002, ISBN 0471226173, xi, 310

Describes the leading techniques for analyzing noise. Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over finite or infinite intervals...

Random noise theory | Electronic noise | Power spectra | Noise | Signal detection | Electronic circuits | Signal Processing and Analysis | Technology | Telecommunications

Random noise theory | Electronic noise | Power spectra | Noise | Signal detection | Electronic circuits | Signal Processing and Analysis | Technology | Telecommunications

Book

1984, Springer series in synergetics, ISBN 9780387113593, Volume 15, xv, 318

This classic text, an often-requested reprint, develops and explains the foundations of noise-induced processes...

Noise | Stochastic processes | Phase transformations (Statistical physics) | Biochemistry, general | Chemistry | Quantum Optics | Statistical physics | Complex Systems | Biochemistry | Mathematics | Applications of Mathematics | Math. Applications in Chemistry | Statistical Physics and Dynamical Systems

Noise | Stochastic processes | Phase transformations (Statistical physics) | Biochemistry, general | Chemistry | Quantum Optics | Statistical physics | Complex Systems | Biochemistry | Mathematics | Applications of Mathematics | Math. Applications in Chemistry | Statistical Physics and Dynamical Systems

Book

Journal of nonlinear science, ISSN 1432-1467, 07/2017, Volume 28, Issue 1, pp. 91 - 145

We derive and study stochastic dissipative dynamics on coadjoint orbits by incorporating noise and dissipation into mechanical systems arising from the theory of reduction by symmetry, including...

Euler-Poincaré theory | 37J15 | 60H10 | Theoretical, Mathematical and Computational Physics | Classical Mechanics | Economic Theory/Quantitative Economics/Mathematical Methods | Mathematics | Stochastic geometric mechanics | 37H10 | Lyapunov exponents | Analysis | Mathematical and Computational Engineering | Random attractors | Coadjoint orbits | Invariant measures | Physical Sciences | Technology | Physics, Mathematical | Mechanics | Mathematics, Applied | Physics | Science & Technology | Algebra | Numerical analysis | Dynamic tests | Computer simulation | Dissipation | Rigid-body dynamics | Lie groups | Mechanical systems | Quantum theory

Euler-Poincaré theory | 37J15 | 60H10 | Theoretical, Mathematical and Computational Physics | Classical Mechanics | Economic Theory/Quantitative Economics/Mathematical Methods | Mathematics | Stochastic geometric mechanics | 37H10 | Lyapunov exponents | Analysis | Mathematical and Computational Engineering | Random attractors | Coadjoint orbits | Invariant measures | Physical Sciences | Technology | Physics, Mathematical | Mechanics | Mathematics, Applied | Physics | Science & Technology | Algebra | Numerical analysis | Dynamic tests | Computer simulation | Dissipation | Rigid-body dynamics | Lie groups | Mechanical systems | Quantum theory

Journal Article

2004, ISBN 0387201548, xiii· 288

Book

The Annals of statistics, ISSN 0090-5364, 04/2011, Volume 39, Issue 2, pp. 1069 - 1097

We study an instance of high-dimensional inference in which the goal is to estimate a matrix Θ* ∈ ℝ m₁ × m₂ on the basis of N noisy observations. The unknown...

Error rates | Technical reports | Sample size | Autoregressive models | Linear regression | Error bounds | Matrices | Mathematical vectors | System identification | Covariance matrices | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Matrix | Simulation | Multivariate analysis | Asymptotic methods | nuclear norm | 62F30 | random matrix theory | rank constraints | High-dimensional inference | trace norm | 62H12 | M-estimators

Error rates | Technical reports | Sample size | Autoregressive models | Linear regression | Error bounds | Matrices | Mathematical vectors | System identification | Covariance matrices | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Matrix | Simulation | Multivariate analysis | Asymptotic methods | nuclear norm | 62F30 | random matrix theory | rank constraints | High-dimensional inference | trace norm | 62H12 | M-estimators

Journal Article

1965, viii, 759

Book

The Visual computer, ISSN 0178-2789, 1/2019, Volume 35, Issue 1, pp. 5 - 21

.... We propose the first elegant and novel blind noise estimation method based on random image tile selection and statistical sampling theory for estimating standard deviation of zero mean Gaussian...

Blind noise estimation | Statistical sampling theory | Computer Graphics | Random conditional sampling | Speckle noise | Gaussian noise | Artificial Intelligence | Computer Science | Image Processing and Computer Vision | Computer Science, general | Usage | Machine vision | Image processing | Analysis | Gaussian processes | Computer vision | Statistical analysis | Noise reduction | Noise | Statistical methods | Pattern recognition | Object recognition | Pixels | Digital imaging | Video | Standard deviation | Sampling | Curve fitting

Blind noise estimation | Statistical sampling theory | Computer Graphics | Random conditional sampling | Speckle noise | Gaussian noise | Artificial Intelligence | Computer Science | Image Processing and Computer Vision | Computer Science, general | Usage | Machine vision | Image processing | Analysis | Gaussian processes | Computer vision | Statistical analysis | Noise reduction | Noise | Statistical methods | Pattern recognition | Object recognition | Pixels | Digital imaging | Video | Standard deviation | Sampling | Curve fitting

Journal Article

1971, Electrical science series., ISBN 0127448500, xi, 411

Book

Potential analysis, ISSN 0926-2601, 4/2013, Volume 38, Issue 3, pp. 863 - 912

... by the Lévy noise consisting of the compensated time homogeneous Poisson random measure and the Wiener process are considered...

Geometry | 76M35 | Potential Theory | Functional Analysis | Compactness method | Probability Theory and Stochastic Processes | Mathematics | Stochastic Navier–Stokes equations | 35Q30 | Poisson random measure | Martingale solution | 60H15 | Stochastic Navier-Stokes equations | Physical Sciences | Science & Technology

Geometry | 76M35 | Potential Theory | Functional Analysis | Compactness method | Probability Theory and Stochastic Processes | Mathematics | Stochastic Navier–Stokes equations | 35Q30 | Poisson random measure | Martingale solution | 60H15 | Stochastic Navier-Stokes equations | Physical Sciences | Science & Technology

Journal Article

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