DocumentCode
3043512
Title
Parallel processing algorithms for linear predictive coding
Author
Siegel, Leah J.
Author_Institution
Purdue University, West Lafayette, IN
Volume
5
fYear
1980
fDate
29312
Firstpage
960
Lastpage
963
Abstract
The use of the SIMD (single instruction stream-multiple data stream) mode of parallelism to perform linear predictive coding analysis is explored. Parallel algorithms for the autocorrelation formulation of linear prediction are presented and analyzed. The algorithms are evaluated in terms of the number of arithmetic operations and interprocessor data transfers required.
Keywords
Algorithm design and analysis; Arithmetic; Autocorrelation; Linear predictive coding; Multiprocessor interconnection networks; Parallel algorithms; Parallel processing; Prediction algorithms; Registers; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type
conf
DOI
10.1109/ICASSP.1980.1171075
Filename
1171075
Link To Document