Conference Information
PacRim 2017 : IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
http://www.ece.uvic.ca/~pacrim/pacrim17/
Submission Date:
2017-06-30 Extended
Notification Date:
2017-07-16
Conference Date:
2017-08-21
Location:
Victoria, British Columbia, Canada
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Conference Location
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Call For Papers
Original full paper of at most 6 (six) pages including figures and references in PDF (IEEE Two-column Conference Style, templates are available) are solicited. All accepted papers will appear in the conference proceedings and recommend to IEEE Xplore.

The scope of PacRim17 encompasses but is not limited to:

Communications 	 
    Wireless Communications & Networking
    MIMO and Massive MIMO
    5G, Millimeter-wave and Visible Light Communication
    Cooperative & Collaborative Systems
    Channel Measurement & Modeling
    Cognitive Radio
    Resource & Mobility Management
    Network Architecture & Protocols
    Internet of Things, Smart Grid, Ehealth
    Vehicular Networks
    Green Communications
    Underwater Communications
    Security and Cryptography

Computers
    Computer Architecture
    Parallel and Distributed Computing
    Grid and Cloud Computing
    Web Applications and Mining
    Multimedia and Network Processors
    Database and Knowledge Based Systems
    Embedded, Reconfigurable, and Power-Aware Systems
    Virtualization
    Cyber Security and Privacy
    Neural Networks and Genetic Algorithms
    Application Specific Hardware Acceleration
    Multi-core Processors and Applications

Signal Processing
    Medical and Biological Image and Signal Processing
    Video and Image Processing
    Wavelets and Filter Banks
    Adaptive Filters and Algorithms
    Speech and Audio Processing
    Underwater Platforms and Sensors
    Multimedia Signal Processing
    Array Signal Processing
    Sparse Signal Processing
    Information Forensics
    Signal Processing for Biometrics
    Sensor Networks
    Signal Processing forCommunications
    Computer Vision
    Sensor Networks
    Machine Learning
Last updated by Dou Sun in 2017-06-22
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