DocumentCode :
2142800
Title :
Systolizing the covariance analysis of linear predictive coding
Author :
Tao Li ; Yuan Yan Tang ; Klasa, S.
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Volume :
3
fYear :
1993
fDate :
19-21 Oct. 1993
Firstpage :
295
Abstract :
A systolic array for the covariance analysis of linear predictive coding is developed in this paper. The covariance analysis of linear predictive coding can be computed with a large set of irregular and nested recurrence equations. Systolizing the algorithm is a difficulty task. The task is first decomposed and then mapped onto several interconnected systolic arrays.<>
Keywords :
linear predictive coding; parallel algorithms; speech coding; systolic arrays; covariance analysis; interconnected systolic arrays; irregular recurrence equations; linear predictive coding; nested recurrence equations; speech coding; systolic algorithm; Array signal processing; Computer networks; Computer science; Difference equations; Linear predictive coding; Signal analysis; Signal processing algorithms; Symmetric matrices; Synchronization; Systolic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
Type :
conf
DOI :
10.1109/TENCON.1993.327980
Filename :
327980
Link To Document :
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