scholarly journals Efficient VLSI Architecture for Memetic Vector Quantizer Design

Author(s):  
Chien-Min Ou ◽  
Wen-Jyi Hwang

1998 ◽  
Vol 08 (05n06) ◽  
pp. 605-614 ◽  
Author(s):  
JEREMY LUBKIN ◽  
GERT CAUWENBERGHS

A mixed-mode VLSI architecture for learning vector quantization (LVQ), with on-chip adaptation and dynamic storage of the analog templates, converts analog vectorial data in parallel to digital format. The architecture is digitally configurable, and extends to commonly used algorithms for codebook adaptation besides k-means clustering such as Fuzzy Adaptive Resonance Theory (ART) and Kohonen self-organizing maps. The analog memory and adaptive element of the LVQ cell comprise 6 MOS transistors and one capacitor, and provide for robust self-refresh of the dynamic analog storage. Total cell size including distance and adaptive computations is 80×70 lambda in scalable MOSIS technology. Experimental results from a fabricated 16×16 cell prototype in 2μm CMOS are included.



Author(s):  
Heming SUN ◽  
Dajiang ZHOU ◽  
Shuping ZHANG ◽  
Shinji KIMURA


2013 ◽  
Vol 10 (9) ◽  
pp. 20130210-20130210 ◽  
Author(s):  
Hong Liang ◽  
He Weifeng ◽  
Zhu Hui ◽  
Mao Zhigang
Keyword(s):  


Author(s):  
Chi-Ting Ni ◽  
Chen-An Chang ◽  
Jia-Wei Liao ◽  
Pei-Yin Chen


Author(s):  
Patricia U. L. da Costa ◽  
Guilherme Paim ◽  
Leandro Rocha ◽  
Eduardo da Costa ◽  
Sergio Almeida ◽  
...  
Keyword(s):  


Sign in / Sign up

Export Citation Format

Share Document