Fisher, 2004 - Google Patents
Generalized frames on the sphere, with application to the background error covariance modellingFisher, 2004
View PDF- Document ID
- 5769718501207873537
- Author
- Fisher M
- Publication year
- Publication venue
- of seminar on recent developments in numerical methods for atmospheric and ocean modelling
External Links
Snippet
The advent of wavelet analysis has fuelled an explosion in harmonic and functional analysis, signal processing and time-frequency analysis. At the same time, wavelets and related constructs have proved themselves useful at the practical level in a wide range of …
- 238000004458 analytical method 0 abstract description 8
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/17—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4084—Transform-based scaling, e.g. FFT domain scaling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Holschneider et al. | From global to regional analysis of the magnetic field on the sphere using wavelet frames | |
Fisher | Generalized frames on the sphere, with application to the background error covariance modelling | |
Starck et al. | Sparse image and signal processing: Wavelets and related geometric multiscale analysis | |
Fieguth | Statistical image processing and multidimensional modeling | |
Cantalupo et al. | MADmap: A massively parallel maximum likelihood cosmic microwave background map-maker | |
Freeden et al. | Spherical sampling | |
Antil et al. | Two-step greedy algorithm for reduced order quadratures | |
Andrews et al. | Outer product expansions and their uses in digital image processing | |
Simons et al. | Scalar and vector Slepian functions, spherical signal estimation and spectral analysis | |
Edwards et al. | A multivariate global spatiotemporal stochastic generator for climate ensembles | |
Guzzi | Data assimilation: mathematical concepts and instructive examples | |
Domingos et al. | Temporal resolution of internal magnetic field modes from satellite data | |
Emery et al. | A semiparametric class of axially symmetric random fields on the sphere | |
Ghosh et al. | Mixed graviton and scalar bispectra in the EFT of inflation: Soft limits and Boostless Bootstrap | |
Dymond et al. | Ionospheric‐thermospheric UV tomography: 1. Image space reconstruction algorithms | |
Freeden et al. | Spectral and multiscale signal-to-noise thresholding of spherical vector fields | |
Metcalf et al. | Reconstructing the gravitational lensing potential from the Lyman-α forest | |
Kusche | Implementation of multigrid solvers for satellite gravity anomaly recovery | |
Maier | Associated Legendre functions and spherical harmonics of fractional degree and order | |
Li et al. | Fast tensor needlet transforms for tangent vector fields on the sphere | |
Yarmolenko et al. | Application of the Theory of Wavelets for Compression and Filtration of Geoinformation | |
Pourya et al. | A box-spline framework for inverse problems with continuous-domain sparsity constraints | |
Fecko | Some useful operators on differential forms on Galilean and Carrollian spacetimes | |
Lewandowski et al. | Projectively nonsingular horizons in Kerr-NUT–de Sitter spacetimes | |
Bazavov | Commutator-free Lie group methods with minimum storage requirements and reuse of exponentials |