Title :
When is overload distortion negligible in uniform scalar quantization?
Author :
Hui, Dennis ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
29 Jun-4 Jul 1997
Abstract :
This paper studies the asymptotic characteristics of optimal fixed-rate uniform scalar quantizers for source densities with infinite support. Asymptotic formulas for the optimal step size and the resulting minimum mean-squared error are given. It is found that the asymptotic significance of overload distortion is directly related to the limit of y-1E[X|X>y] as y tends to infinity
Keywords :
least mean squares methods; quantisation (signal); asymptotic characteristic; asymptotic significance; minimum mean-squared error; optimal fixed-rate uniform scalar quantizers; optimal step size; overload distortion; source densities; uniform scalar quantization; Computer errors; Computer science; H infinity control; Lattices; Probability distribution; Quantization; Sufficient conditions; Tail;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613454
