Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
20
click to vote
ISLPED
1996
ACM
favorite
Email
discuss
report
112
views
Hardware
»
more
ISLPED 1996
»
Data driven signal processing: an approach for energy efficient computing
14 years 21 days ago
Download
www-mtl.mit.edu
Anantha Chandrakasan, Vadim Gutnik, Thucydides Xan
Real-time Traffic
Hardware
|
ISLPED 1996
|
claim paper
Related Content
»
An EnergyDriven Design Methodology for Distributing DSP Applications across Wireless Senso...
»
Probabilistic arithmetic and energy efficient embedded signal processing
»
A distributed and adaptive signal processing approach to exploiting correlation in sensor ...
»
Ordering for energy efficient estimation and optimization in sensor networks
»
Bartendr a practical approach to energyaware cellular data scheduling
»
QualityDriven Proactive Computation Elimination for PowerAware Multimedia Processing
»
Efficient power management for Wireless Sensor Networks A datadriven approach
»
Data Reuse Driven Memory and NetworkOnChip CoSynthesis
»
Energy Efficiency in the Mobile Ad Hoc Networking Approach to Monitoring Farm Animals
more »
Post Info
More Details (n/a)
Added
08 Aug 2010
Updated
08 Aug 2010
Type
Conference
Year
1996
Where
ISLPED
Authors
Anantha Chandrakasan, Vadim Gutnik, Thucydides Xanthopoulos
Comments
(0)
Researcher Info
Hardware Study Group
Computer Vision