Cyclostationary modeling, analysis, and optimal compensation of quantization errors in subband codecs

• Published in: IEEE transactions on signal processing Vol. 43; no. 9; pp. 2109 - 2119
• Main Authors: Uzun, N., Haddad, R.A.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.09.1995; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Autocorrelation; Bit rate; Codecs; Compaction; Constraint optimization; Equations; Exact sciences and technology; Filter bank; Information, signal and communications theory; Quantization; Sampling, quantization; Signal analysis; Signal and communications theory; Signal synthesis; Telecommunications and information theory; Codec; Subband decomposition; Quantization error; Optimal filter; Signal quantization; Floating point; Filter bank; Modeling; Fixed point
• ISSN: 1053-587X
• DOI: 10.1109/78.414773

The paper is concerned with the analysis and modeling of the effects of quantization of subband signals in subband codecs. Using cyclostationary representations, the authors derive equations for the autocorrelation and power spectral density (PSD) of the reconstructed signal y(n) in terms of the analysis/synthesis filters, the PSD of the input, and the pdf-optimized quantizer model. Formulas for the mean-square error (MSE) and for compaction gain are obtained in terms of these parameters. The authors constrain the filter bank to be perfect reconstruction (PR) (but not necessarily paraunitary) in the absence of quantization and transmission errors. These formulas set the stage for filter optimization (maximization of compaction gain and minimization of MSE) subject to PR and bit constraints. Optimal filters are designed, optimal compensation is performed, and the theoretical results are confirmed with simulations. The floating-point quantizer wherein only the mantissa is uniformly quantized is also analyzed and compared with the fixed point, pdf-optimized filter bank. For high bit rates, their performance is comparable.< >