DocumentCode :
1486466
Title :
On entropy of pyramid structures
Author :
Rao, Padmanabha R. ; Pearlman, William A.
Author_Institution :
Dept. of Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
37
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
407
Lastpage :
413
Abstract :
An information-theoretic analysis of multiresolution pyramid structures is presented. The analysis is carried out using the concept of spectral entropy which, for Gaussian sources, is linearly related to the differential entropy. The spectral entropy is used to define the spectral roughness measure that, in turn, is an indicator of the amount of memory in a source. The more the memory in a source, the greater is the value of its spectral roughness measure. The spectral roughness measure also plays an important role in lower bounding the rate-distortion function. The main result is that the spectral roughness measure of a pyramid structure is less than that of the original fullband process. This means that substantial reduction in bits can be obtained by merely representing a source as a pyramid. Simulations using one-dimensional and two-dimensional sources verifying these claims are presented
Keywords :
encoding; entropy; information theory; An information-theoretic analysis; Gaussian sources; coding; multiresolution pyramid structures; one-dimensional sources; rate-distortion function; spectral entropy; spectral roughness measure; two-dimensional sources; Additive noise; Detectors; Differential equations; Entropy; Image coding; Narrowband; Nonlinear equations; Quantization; Signal detection; Time factors;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.75266
Filename :
75266
Link To Document :
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