학술논문

Entropy-based algorithms for best basis selection
Document Type
Periodical
Source
IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 38(2):713-718 Mar, 1992
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Libraries
Cost function
Entropy
Wavelet packets
Time frequency analysis
Mathematics
Signal analysis
Transform coding
Image coding
Vector quantization
Language
ISSN
0018-9448
1557-9654
Abstract
Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or family of signals. It permits efficient compression of a variety of signals, such as sound and images. The predefined libraries of modulated waveforms include orthogonal wavelet-packets and localized trigonometric functions, and have reasonably well-controlled time-frequency localization properties. The idea is to build out of the library functions an orthonormal basis relative to which the given signal or collection of signals has the lowest information cost. The method relies heavily on the remarkable orthogonality properties of the new libraries: all expansions in a given library conserve energy and are thus comparable. Several cost functionals are useful; one of the most attractive is Shannon entropy, which has a geometric interpretation in this context.ETX