DocumentCode :
746039
Title :
Complexity reduction in designing globally optimal scalar quantiser
Author :
Yang, Haiyun ; Chen, Chang-Qian ; Koh, Soo-Ngee ; Sivaprakasapillai, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
31
Issue :
5
fYear :
1995
fDate :
3/2/1995 12:00:00 AM
Firstpage :
343
Lastpage :
344
Abstract :
A method to reduce the computational complexity in the design of a dynamic-programming-based globally optimal quantiser is proposed. With the new method, the computational complexity involved in designing a q-level quantiser with N training data samples is reduced from O(0.5N 3) to O((7+q)N2) arithmetic and comparison operations. The effect of this reduction is to make the training of large data sets a practical possibility
Keywords :
computational complexity; dynamic programming; quantisation (signal); signal sampling; speech coding; complexity reduction; computational complexity; dynamic programming; globally optimal scalar quantiser; q-level quantiser; training data samples;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19950238
Filename :
369982
Link To Document :
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