Energy-Efficient Digital Filtering Using ML-based Error Correction (ML-EC) Technique

2006 ◽  
Author(s):  
Jun Won Choi ◽  
Byonghyo Shim ◽  
Andrew C. Singer ◽  
Nam Ik Cho
Keyword(s):  
Error Correction ◽  
Energy Efficient ◽  
Digital Filtering

scholarly journals The Importance of Energy Efficiency in Engineering and Informatics

2021 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Digital Circuits ◽  
Reducing Power ◽  
Digital Filtering ◽  
Low Power Design ◽  
Engineering Systems ◽  
Algorithmic Approach ◽  
Modern Engineering ◽  
Power Frequency

Techniques for reducing power consumption in digital circuits that underly automatic control of modern engineering systems are of paramount importance due to the simultaneously growing demands for portable multimedia devices and energy conservation. Digital filters, being ubiquitous in such devices, are thus a prime candidate for low power design. We review an algorithmic approach to low power frequency-selective digital filtering, an essential ingredient for energy efficient technological innovation in many domains.

scholarly journals The Importance of Energy Efficiency in Engineering and Informatics

2021 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Digital Circuits ◽  
Reducing Power ◽  
Digital Filtering ◽  
Low Power Design ◽  
Engineering Systems ◽  
Algorithmic Approach ◽  
Modern Engineering ◽  
Power Frequency

Techniques for reducing power consumption in digital circuits that underly automatic control of modern engineering systems are of paramount importance due to the simultaneously growing demands for portable multimedia devices and energy conservation. Digital filters, being ubiquitous in such devices, are thus a prime candidate for low power design. We review an algorithmic approach to low power frequency-selective digital filtering, an essential ingredient for energy efficient technological innovation in many domains.

High-Speed Long-Wavelength VCSELs for Energy-Efficient 40 Gbps Links up to 1 km Without Error Correction

2015 ◽  
Author(s):  
Antonio Malacarne ◽  
Vito Sorianello ◽  
Aidan Daly ◽  
Benjamin Kögel ◽  
Markus Ortsiefer ◽  
...  
Keyword(s):  
Error Correction ◽  
Energy Efficient ◽  
High Speed ◽  
Long Wavelength

scholarly journals Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle

2016 ◽  
Vol 16 (4) ◽  
pp. 183-189 ◽  
Author(s):  
Magdalena Dobrzańska ◽  
Paweł Dobrzański ◽  
Mirosław Śmieszek ◽  
Paweł Pawlus
Keyword(s):  
Error Correction ◽  
Experimental Studies ◽  
Digital Filtering ◽  
Automated Guided Vehicle ◽  
Simulation Studies ◽  
Data Set ◽  
Real Movement ◽  
Selection Of ◽  
Analysis Of Motion

AbstractIn this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and size of disruption have been determined using the registered runs in experimental studies. On the basis of the analysis a number of numerical runs have been generated, which mapped possible to obtain runs in a real movement of the vehicle. The obtained data set has been used for further research. The aim of this paper was to test the selected methods of digital filtering on the same data set and determine their effectiveness. The results of simulation studies have been presented in the article. The effectiveness of various methods has been determined and on this basis the conclusions have been drawn.

Low Complexity Processor Designs for Energy-Efficient Security and Error Correction in Wireless Sensor Networks

2012 ◽  
pp. 348-366 ◽  
Author(s):  
J. H. Kong ◽  
J. J. Ong ◽  
L.-M. Ang ◽  
K. P. Seng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Error Correction ◽  
Energy Efficient ◽  
Small Area ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Battery Life ◽  
Processor Designs ◽  
Hardware Designs

This chapter presents low complexity processor designs for energy-efficient security and error correction for implementation on wireless sensor networks (WSN). WSN nodes have limited resources in terms of hardware, memory, and battery life span. Small area hardware designs for encryption and error-correction modules are the most preferred approach to meet the stringent design area requirement. This chapter describes Minimal Instruction Set Computer (MISC) processor designs with a compact architecture and simple hardware components. The MISC is able to make use of a small area of the FPGA and provides a processor platform for security and error correction operations. In this chapter, two example applications, which are the Advance Encryption Standard (AES) and Reed Solomon (RS) algorithms, were implemented onto MISC. The MISC hardware architecture for AES and RS were designed and verified using the Handel-C hardware description language and implemented on a Xilinx Spartan-3 FPGA.

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