Chou, 1991 - Google Patents
A stochastic modelling approach to multiscale signal processingChou, 1991
View PDF- Document ID
- 11446491747629910329
- Author
- Chou K
- Publication year
External Links
Snippet
In recent years there has been much interest in multiscale signal analysis, a large part of which is due to the recent flurry of research in the study of the wavelet transform. Though multiscale analysis seems like a natural enough paradigm in which to solve various signal …
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
-
- 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
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- 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
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chou | A stochastic modelling approach to multiscale signal processing | |
| Aldroubi et al. | p-frames and shift invariant subspaces of L p | |
| Delaney et al. | Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography | |
| Denoyelle et al. | Support recovery for sparse super-resolution of positive measures | |
| Censor et al. | On some optimization techniques in image reconstruction from projections | |
| Vannucci et al. | Covariance structure of wavelet coefficients: theory and models in a Bayesian perspective | |
| Antoine et al. | Wavelets on the n-sphere and related manifolds | |
| Godsill | On the relationship between Markov chain Monte Carlo methods for model uncertainty | |
| Fessler et al. | Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction | |
| Chou et al. | Multiscale recursive estimation, data fusion, and regularization | |
| Luettgen et al. | Multiscale representations of Markov random fields | |
| Hong | Multiresolutional filtering using wavelet transform | |
| Kolaczyk | A wavelet shrinkage approach to tomographic image reconstruction | |
| Benveniste et al. | Multiscale system theory | |
| Cohn et al. | Observability of discretized partial differential equations | |
| Kaplan et al. | An improved method for 2-d self-similar image synthesis | |
| Bresler et al. | Three-dimensional reconstruction from projections with incomplete and noisy data by object estimation | |
| Freund | The case of the missing cell | |
| Frakt et al. | Computationally efficient stochastic realization for internal multiscale autoregressive models | |
| Durrani et al. | Optimisation techniques for digital image reconstruction from their projections | |
| O'Sullivan | Roughness penalties on finite domains | |
| Yazici | Stochastic deconvolution over groups | |
| Allison | Analyzing collapsed contingency tables without actually collapsing | |
| Saito et al. | eghwt: The extended generalized haar–walsh transform | |
| Bhatia et al. | Tomographic reconstruction and estimation based on multiscale natural-pixel bases |