6533b85afe1ef96bd12b8abd

RESEARCH PRODUCT

Non-periodic Discrete-Spline Wavelets

Valery A. ZheludevPekka NeittaanmäkiAmir Averbuch

subject

UpsamplingSpline (mathematics)WaveletComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematicsofComputing_NUMERICALANALYSISWavelet transformPolyphase systemData_CODINGANDINFORMATIONTHEORYFilter (signal processing)AlgorithmComputingMethodologies_COMPUTERGRAPHICSExponential function

description

This chapter describes wavelet analysis in the spaces of discrete splines whose spans are powers of 2. This wavelet analysis is similar to wavelet analysis in the polynomial-spline spaces. The transforms are based on relations between exponential discrete splines from different resolution scales. Generators of discrete-spline wavelet spaces are described. The discrete-spline wavelet transforms generate wavelet transforms in signal space. Practically, wavelet transforms of signals are implemented by multirate filtering of signals by two-channel filter banks with the downsampling factor 2 (critically sampled filter banks). The filtering implementation is accelerated by switching to the polyphase representation of signals and filters.

https://doi.org/10.1007/978-3-319-22303-2_10