DocumentCode
2809512
Title
Quantized predictive coding
Author
Lee, Don H. ; Neuhoff, David L.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear
1990
fDate
12-14 Aug 1990
Firstpage
548
Abstract
A new form of predictive quantization, dubbed quantized predictive coding (QPC), is presented. One version uses variable-length coding and another uses fixed-length coding. For autoregressive sources, it is shown both analytically and experimentally that the performance of QPC with (without) entropy-coding is, essentially, the same as that of DPCM (differential pulse code modulation) with uniform quantization with (without) entropy-coding. The principal advantage of QPC is that, unlike DPCM, it is a priori designed for digital implementation. As a result, its digital implementation is simpler than DPCM and suffers no loss in performance due to round-off errors
Keywords
encoding; filtering and prediction theory; roundoff errors; DPCM; QPC; autoregressive sources; digital implementation; entropy-coding; fixed-length coding; predictive quantization; quantized predictive coding; round-off errors; variable-length coding; Costs; Decoding; Fixed-point arithmetic; Performance analysis; Performance loss; Predictive coding; Pulse modulation; Quantization; Redundancy; Roundoff errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location
Calgary, Alta.
Print_ISBN
0-7803-0081-5
Type
conf
DOI
10.1109/MWSCAS.1990.140777
Filename
140777
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