Title :
Quantization of signals in additive noise: Efficiency and linearity of the equal step-size quantizer
Author_Institution :
Chalmers University of Technology, Göteborg, Sweden
fDate :
12/1/1977 12:00:00 AM
Abstract :
The influence of an equal step-size quantizer on the sum of signal and noise is determined for general one-dimensional noise density functions. The efficiency and the nonlinearity of the quantized signal are studied in detail. It is shown that in many cases of practical importance even a very crude quantization yields sufficiently linear and surprisingly efficient signal estimates.
Keywords :
Additive noise; Density functional theory; Distribution functions; Equations; Gaussian noise; Linearity; Probability density function; Quantization; Signal to noise ratio; Yield estimation;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1977.1163015
