Title :
An ADPCM with an exponential power estimator based predictor for speech coding
Author :
Mathew, George ; Narasimhan, S.V. ; Shivaprasad, A.P.
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Abstract :
The application of the exponential power estimation (EPE) technique to realize computationally simple predictor adaptation algorithms has been investigated. An adaptive differential pulse code modulation (ADPCM) system which employs the EPE-based adaptive predictor provides a computational advantage of 2N multiplications (N being the predictor order) and one division per iteration compared to the ADPCM which employs a block power estimator based adaptive predictor. A performance comparison has been conducted with two conventional ADPCM systems at different bit rates and channel conditions, using different quantizer characteristics. The results indicate that the proposed ADPCM performs identically to the conventional ones at 32 kbps and better than them at 16 kbps
Keywords :
encoding; filtering and prediction theory; parameter estimation; pulse-code modulation; speech analysis and processing; 16 kbit/s; 32 kbit/s; ADPCM; adaptive differential pulse code modulation; bit rates; block power estimator; channel conditions; exponential power estimation; predictor adaptation algorithms; predictor order; quantizer characteristics; speech coding; Bit rate; Computational complexity; Dynamic range; Least squares approximation; Modulation coding; Prediction algorithms; Pulse modulation; Recursive estimation; Redundancy; Speech coding;
Conference_Titel :
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location :
Bombay
DOI :
10.1109/TENCON.1989.177030
