TY - JOUR
T1 - Behavior of the quantization operator for bandlimited, nonoversampled signals
AU - Boche, Holger
AU - Mönich, Ullrich J.
N1 - Funding Information:
Manuscript received June 12, 2007; revised March 04, 2009. Current version published April 21, 2010. This work was supported in part by the German Research Foundation (DFG) under grant BO 1734/9-1. The authors are with the Technische Universität Berlin, Heinrich-Hertz-Chair for Mobile Communications, Einsteinufer 25, D-10578 Berlin, Germany (e-mail: [email protected]; [email protected]). Communicated by W. Szpankowski, Associate Editor for Source Coding. Digital Object Identifier 10.1109/TIT.2010.2044072
PY - 2010/5
Y1 - 2010/5
N2 - The process of quantization generates a loss of information, and, thus, the original signal cannot be reconstructed exactly from the quantized samples in general. However, it is desirable to keep the error as small as possible. In this paper, the quantization error is quantified in terms of several distortion measures. All these measures employ the difference between the original signal and the reconstructed signal, which is obtained by bandlimited interpolation of the quantized samples. We assume that the signals are bandlimited and that the samples are taken at Nyquist rate. It is shown that for signals in the PaleyWiener space PWπ1, the supremum of the reconstructed signal, and, hence, the quantization error cannot be bounded in the sense that there exists a bounded subset of PWπ1 on which both quantities can increase unboundedly. This unexpected behavior is due to the nonlinearity of the quantization operator and the slow decay of the sinc function. The nonlinearity is essential for this behavior because every linear operator that fulfills a certain property of the quantization operator would otherwise have to be bounded. Furthermore, it is proven that for a fixed signal the possible quantization error increases as the quantization step size tends to zero. The treatment of the quantization error in this paper is completely deterministic.
AB - The process of quantization generates a loss of information, and, thus, the original signal cannot be reconstructed exactly from the quantized samples in general. However, it is desirable to keep the error as small as possible. In this paper, the quantization error is quantified in terms of several distortion measures. All these measures employ the difference between the original signal and the reconstructed signal, which is obtained by bandlimited interpolation of the quantized samples. We assume that the signals are bandlimited and that the samples are taken at Nyquist rate. It is shown that for signals in the PaleyWiener space PWπ1, the supremum of the reconstructed signal, and, hence, the quantization error cannot be bounded in the sense that there exists a bounded subset of PWπ1 on which both quantities can increase unboundedly. This unexpected behavior is due to the nonlinearity of the quantization operator and the slow decay of the sinc function. The nonlinearity is essential for this behavior because every linear operator that fulfills a certain property of the quantization operator would otherwise have to be bounded. Furthermore, it is proven that for a fixed signal the possible quantization error increases as the quantization step size tends to zero. The treatment of the quantization error in this paper is completely deterministic.
KW - Analog-to-digital conversion
KW - Bandlimited signal
KW - Quantization noise
KW - Shannon sampling series
KW - Signal quantization
UR - http://www.scopus.com/inward/record.url?scp=77951519844&partnerID=8YFLogxK
U2 - 10.1109/TIT.2010.2044072
DO - 10.1109/TIT.2010.2044072
M3 - Article
AN - SCOPUS:77951519844
SN - 0018-9448
VL - 56
SP - 2433
EP - 2440
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 5
M1 - 27
ER -