Parallel Huffman decoder with an optimized look up table option on FPGA

2002 ◽  
Author(s):  
Z. Aspar ◽  
Z. Mohd Yusof ◽  
I. Suleiman
Keyword(s):  
Look Up Table

A High Efficiency Class-E Power Amplifier Over a Wide Power Range Using a Look-Up Table Based Dynamic Biasing Scheme

2015 ◽  
Vol E98.C (4) ◽  
pp. 377-379
Author(s):  
Jonggyun LIM ◽  
Wonshil KANG ◽  
Kang-Yoon LEE ◽  
Hyunchul KU
Keyword(s):  
Power Amplifier ◽  
High Efficiency ◽  
Look Up Table ◽  
Dynamic Biasing ◽  
Class E

Assessment of the look-up table using the tubular and bundle CHF data and modification of the bundle correction factor

Kerntechnik ◽  
2006 ◽  
Vol 71 (4) ◽  
pp. 192-202
Author(s):  
D. K. Chandraker ◽  
P. K. Vijayan ◽  
D. Saha ◽  
R. K. Sinha
Keyword(s):  
Correction Factor ◽  
Look Up Table ◽  
The Look

Panorama real-time unrolling of catadioptric omni-directional images with look-up table based on FPGA

2009 ◽  
Vol 28 (12) ◽  
pp. 3135-3137
Author(s):  
Bin WANG ◽  
Zhi-hui XIONG ◽  
Gang CHENG ◽  
Li-dong CHEN ◽  
Mao-jun ZHANG
Keyword(s):  
Real Time ◽  
Look Up Table

SELF-TIMED LOOK UP TABLE

2017 ◽  
Vol 61 ◽  
pp. 41-45
Author(s):  
S. F. Tyurin ◽  
◽  
A. Yu. Skornyakova ◽  
Keyword(s):  
Look Up Table

scholarly journals Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching

2021 ◽  
Vol 10 (2) ◽  
pp. 79
Author(s):  
Ching-Yun Mu ◽  
Tien-Yin Chou ◽  
Thanh Van Hoang ◽  
Pin Kung ◽  
Yao-Min Fang ◽  
...  
Keyword(s):  
Data Structures ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Retrieval ◽  
Spatial Data Mining ◽  
Map Matching ◽  
Matching Algorithm ◽  
Table Method ◽  
Look Up Table ◽  
The Look

Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly with large amounts of coordinate data. Using the dimension reduction technique, the geodesic coordinates can be transformed into plane coordinates. This study provides multiple layer grouping combinations to deal with complex road networks. We integrated these techniques and employed a puncture method to process the geometric computation with spatial data-mining approaches. We constructed a spatial division index and combined this with the puncture method, which improves the efficiency of the system and can enhance data retrieval efficiency for large truck fleet dispatching. This paper also used a multilayer-based map matching algorithm with raster data structures. Comparing the results revealed that the look-up table method offers the best outcome. The proposed multilayer-based map matching algorithm using the look-up table method is suited to obtaining competitive performance in identifying efficiency improvements for large truck fleet dispatching.

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