Welcome to
Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN:
Online ISSN:2583-5009

  About DSPAI
  DLINE Portal Home
Aims & Scope
Editorial Board
Journal Information
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Paper Submission
Contact us
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy

  For Authors
  Guidelines for Contributors
Online Submission
Statement of Ethics and Responsibilities
Review Policies
Transfer of Copyright
Archiving Policy
Call for Papers
Author Rights
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)


Digital Signal Processing and Artificial Intelligence for Automatic Learning

Ricardo Rodriguez Jorge
Assistant Professor
Department of Informatics
JEP University
Czech Republic
Ricardo Rodriguez Jorge <rodriguezjorger@ujep.cz>

Pit Pichappan
Senior Scientist
Digital Information Research Labs
11 Ramanujam Street
Chennai 600017
India & UK


The journal Digital Signal Processing and Artificial Intelligence for Automatic Learning (AL) invites submissions of original contributions. AL usually plays an important role in transitions from data storage to decision support systems based on very large signal databases, such as the data obtained from sensor networks, internet services, or communication systems. These systems stimulate the development of both computational solutions and novel models. Signals from real-world systems, such as speech, music, biomedical, and multimedia systems, are usually quite complex, making digital signal processing very useful for the automation of analytic operations to retrieve information from data storage.
Topics will range from foundations for real-world systems and speech processing to language analysis, biomedicine, convergence and complexity analysis, machine learning, social networks, sparse representations, visual analytics, and robust statistical methods.
This journal solicits papers on machine learning approaches for all aspects of digital signal processing and artificial intelligence with regard to AL, including (but not limited to) topics such as:

    • Learning theory
    • Cognitive information processing
    • Neural networks
    • Classification and pattern recognition
    • Nonlinear signal processing
    • Graphical models and kernel methods
    • Genomic signals and sequences
    • Multichannel adaptive signal processing
    • Kernel methods and graphical models
    • Sparsity-aware learning
    • Subspace/manifold learning
    • Bayesian and distributed learning
    • Smart grids, games, and social networks
    • Computational intelligence
    • Data-driven adaptive systems
    • Data-driven models
    • Multimodal data fusion
    • Multiset data analysis
    • Perceptual signal processing
    • Applications (biomedical signals, biometrics, bioinformatics)

    Frequency: Quarterly

    Published every March, June, September and December.

Current Issue

Vol 3. No. 1 (March 2024)

Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|


Copyright � 2022 dline.info