Asymptotic quantizing error for unbounded random variables (Corresp.)
Author :
Pierce, J.
Volume :
16
Issue :
1
fYear :
1970
fDate :
1/1/1970 12:00:00 AM
Firstpage :
81
Lastpage :
83
Abstract :
A sufficient condition is given for mean th-power error in quantizing an unbounded random variable to vary inversely with the th power of the number of quantizing levels. An example is given of a distribution for which this behavior is unattainable.
Keywords :
Quantization methods; Autocorrelation; Electrons; Enterprise resource planning; Gaussian noise; Information theory; NIST; Random variables; Signal resolution; Signal to noise ratio; Sufficient conditions;