Applied and Computational Harmonic Analysis

Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers. Applied and computational harmonic analysis covers, in the broadest sense, topics that include but not limited to:

I Signal and Function Representations
continuous and discrete wavelet transform
wavelet frames
wavelet algorithms
local time-frequency and time-scale basis functions
multi-scale and multi-level methods
refinable functions

II Representation of Abstract and High-dimensional Objects
diffusion wavelets and geometry
harmonic analysis on graphs and trees
sparse data representation
compressive sampling
compressed sensing
matrix completion
random matrices and projections
data dimensionality reduction
high-dimensional integration

III Application Areas
data compression
signal and image processing
learning theory and algorithms
computer-aided geometric design
extra large data analysis and understanding
data recovery and image inpainting
data mining
hyperspectral imaging
novel sensors and systems

This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.