DocumentCode :
1226367
Title :
Variable bit rate adaptive predictive coder
Author :
Dedes, Ioannis S. ; Vaman, Dhadesugoor R. ; Chakravarthy, Cadathur V.
Author_Institution :
Dept. of Electr. & Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
Volume :
40
Issue :
3
fYear :
1992
fDate :
3/1/1992 12:00:00 AM
Firstpage :
511
Lastpage :
517
Abstract :
An adaptive predictive coder providing almost toll quality at 16 kb/s and minimal degradation when the bit rate is lowered to 9.6 kb/s is described. The coder can operate at intermediate bit rates and can also change bit rate on a packet-by-packet basis. Variable bit rate operation is achieved through the use of switched quantization, thus eliminating the need for buffering of the output. A noise shaping filter provides flexible control of the output noise spectrum. The filter, in conjunction with an enhanced way to adapt the quantizer step size, which tries to accommodate the quantization noise feedback, accounts for the toll quality. By quantizing the residue with more than one quantizer, the effective number of bits per sample can be controlled in a deterministic way regardless of the entropy residue. The lower limit of operation is at 9.6 kb/s. Performance of the coder under random bit errors is also presented. It has been found that only at error rates of 10-2 and higher does the degradation becomes objectionable
Keywords :
encoding; filtering and prediction theory; packet switching; speech analysis and processing; 16 kbit/s; 9.6 kbit/s; adaptive predictive coder; entropy residue; error rates; noise shaping filter; output noise spectrum; packet switching; quantization noise feedback; quantizer step size; random bit errors; switched quantization; toll quality; variable bit rate coder; Bit rate; Degradation; Delay; Entropy coding; Filters; Interpolation; Noise shaping; Quantization; Speech; Traffic control;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.120794
Filename :
120794
Link To Document :
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