Related categories 2
Sites 25
Statistical applications, signal denoising, curvelets, ridgelets.
Shrinkage, nonparametric regression, smoothing methods, inverse problems.
Lossless/lossy image compression, signal-adapted filter banks, estimation theory.
Numerical analysis, data compression, differential equations.
Wavelets, multiresolution and approximation with applications in functional MRI, Optical Coherence Tomography.
Video compression, visibility of packet losses in compressed video.
Signal and image applications (denoising, estimation) of wavelets and filter banks (geosciences, combustion analysis); WITS: wavelet names.
Scattered approximation, Gabor expansions, wavelet theory.
Lists recent research papers, a sample of a recent book, and specific areas of interest (fractals, dynamical systems).
Harmonic analysis, Partial Differential Equations, wavelets, physics-based signal and image processing.
Statistical modeling of instrumental data in temporal, spatial, and spatio-temporal contexts.
Wavelets, frames, biomedical signal processing, multirate signal processing, data compression and signal processing for communications.
Image compression, deconvolution, spectral estimation, matching pursuit, wavelet networks, texture gradient, bandelets.
Curve and surface estimation, time series analysis, experimental design, data analysis.
Analysis of brain imaging data, nonparametric regression, wavelets, statistical computing, functional data analysis, change-point problems.
Statistical applications, shrinkage, data analysis.
Statistical signal processing using wavelets and nonlinear multiresolution analysis.
Applied and computational harmonic analysis, image analysis, pattern recognition, data compression, statistical signal processing, human and machine vision, geophysical inverse problems.
Statistical applications, wavelet regression, mixture problems.
Multiresolution statistical image models, with application to compression, denoising, texture synthesis, and computational neuroscience.
Signal processing for multimedia (in particular watermarking, data hiding and content-based retrieval) and heart diagnostic from acoustic measurements.
Sampling theories, multiresolution algorithms, wavelets, and the use of splines for image processing.
Wavelet history, bayesian inference, statistical modeling.
Image and video compression, image restoration.
Video and image processing, Matching Pursuit, 3D models.
Statistical applications, signal denoising, curvelets, ridgelets.
Wavelets, frames, biomedical signal processing, multirate signal processing, data compression and signal processing for communications.
Image compression, deconvolution, spectral estimation, matching pursuit, wavelet networks, texture gradient, bandelets.
Curve and surface estimation, time series analysis, experimental design, data analysis.
Wavelet history, bayesian inference, statistical modeling.
Wavelets, multiresolution and approximation with applications in functional MRI, Optical Coherence Tomography.
Signal and image applications (denoising, estimation) of wavelets and filter banks (geosciences, combustion analysis); WITS: wavelet names.
Scattered approximation, Gabor expansions, wavelet theory.
Applied and computational harmonic analysis, image analysis, pattern recognition, data compression, statistical signal processing, human and machine vision, geophysical inverse problems.
Statistical applications, wavelet regression, mixture problems.
Video and image processing, Matching Pursuit, 3D models.
Image and video compression, image restoration.
Statistical modeling of instrumental data in temporal, spatial, and spatio-temporal contexts.
Statistical signal processing using wavelets and nonlinear multiresolution analysis.
Video compression, visibility of packet losses in compressed video.
Harmonic analysis, Partial Differential Equations, wavelets, physics-based signal and image processing.
Numerical analysis, data compression, differential equations.
Lossless/lossy image compression, signal-adapted filter banks, estimation theory.
Statistical applications, shrinkage, data analysis.
Shrinkage, nonparametric regression, smoothing methods, inverse problems.
Sampling theories, multiresolution algorithms, wavelets, and the use of splines for image processing.
Analysis of brain imaging data, nonparametric regression, wavelets, statistical computing, functional data analysis, change-point problems.
Lists recent research papers, a sample of a recent book, and specific areas of interest (fractals, dynamical systems).
Signal processing for multimedia (in particular watermarking, data hiding and content-based retrieval) and heart diagnostic from acoustic measurements.
Multiresolution statistical image models, with application to compression, denoising, texture synthesis, and computational neuroscience.
