TY - GEN
T1 - The effect of distortion on the MDL model
AU - Gronich, Yoram
AU - Zamir, Ram
N1 - Publisher Copyright:
© 2001 IEEE.
PY - 2001
Y1 - 2001
N2 - We investigate the consequences of lossy compression, i.e., description with distortion, on the model selection of the minimum description length (MDL) criterion. Our basic observation is that for a finite data sequence and sufficiently large distortion, a two-stage universal lossy encoder tends to under-estimate the model order of the source. We demonstrate this property by examining the behavior of a two-stage universal lossy encoder, based on pre/post-filtered entropy-coded dithered quantization, over some parametric classes of stationary Gaussian sources.
AB - We investigate the consequences of lossy compression, i.e., description with distortion, on the model selection of the minimum description length (MDL) criterion. Our basic observation is that for a finite data sequence and sufficiently large distortion, a two-stage universal lossy encoder tends to under-estimate the model order of the source. We demonstrate this property by examining the behavior of a two-stage universal lossy encoder, based on pre/post-filtered entropy-coded dithered quantization, over some parametric classes of stationary Gaussian sources.
UR - http://www.scopus.com/inward/record.url?scp=84938923649&partnerID=8YFLogxK
U2 - 10.1109/ITW.2001.955169
DO - 10.1109/ITW.2001.955169
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84938923649
T3 - Proceedings - 2001 IEEE Information Theory Workshop, ITW 2001
SP - 156
EP - 157
BT - Proceedings - 2001 IEEE Information Theory Workshop, ITW 2001
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2001 IEEE Information Theory Workshop, ITW 2001
Y2 - 2 September 2001 through 7 September 2001
ER -