Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression.
Guillermo DufortFederico FavaroFederico LecumberryAlvaro MartínJuan P. OliverJulian OreggioniIgnacio RamírezGadiel SeroussiLeonardo SteinfeldPublished in: IEEE Trans. Biomed. Circuits Syst. (2018)
Keyphrases
- energy consumption
- achieving high
- lossless compression
- jpeg ls
- compression ratio
- multi hop
- compression algorithm
- compression scheme
- arithmetic coding
- image compression
- resource utilization
- lossy compression
- wireless sensor networks
- energy efficient
- energy efficiency
- energy saving
- sensor networks
- entropy coding
- battery powered
- wireless medium
- energy conservation
- wireless communication
- data compression
- mac protocol
- routing protocol
- compression standards
- transmission power
- mac layer
- data gathering
- response time
- network connectivity
- power control
- base station
- wireless networks
- data transmission
- mobile ad hoc networks
- image quality
- physical layer
- sensor nodes
- data center
- mobile devices
- total energy
- wavelet transform
- wireless link
- routing algorithm
- power management
- wifi
- power consumption
- cellular networks
- network topology
- wireless channels
- mobile networks
- residual energy
- bitstream
- cross layer