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SIPIJ 2019 : Signal & Image Processing : An International Journal

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Link: http://www.airccse.org/journal/sipij/index.html
 
When N/A
Where N/A
Submission Deadline Feb 23, 2019
Notification Due Mar 23, 2019
Final Version Due Mar 31, 2019
Categories    signal processing   image processing   multimedia   visualization
 

Call For Papers

Signal & Image Processing : An International Journal(SIPIJ 2019)

Call for Papers

Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following

Topics of Interest

  • Applied Digital Signal Processing
  • Coding and Transmission
  • Digital Signal Processing in Communications
  • Emerging Technologies
  • Emerging Technologies in Digital Signal Processing
  • Image & Signal Processing Applications
  • Image Acquisition and Display
  • Image and Video Processing & Analysis
  • Image Formation
  • Image Scanning, Display and Printing
  • Storage and Retrieval

Paper Submission

Authors are invited to submit papers for this journal through Email: sipijjournal@airccse.org or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Submission Deadline: February 23, 2019
Authors Notification:March 23, 2019
Final Manuscript Due:March 31, 2019
Publication Date:Determined by the Editor-in-Chief

Current Issue

October 2018, Volume 09, Number 05

Computer Aided Diagnosis of Ventricular Arrhythmias from Electrocardiogram Lead II Signals
Saleh A. Alzahrani and Umar S. Alqasemi, King Abdulaziz University, Saudi Arabia

Editor In Chief

Associate Editor


Editorial Board

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