Aim & Scope

Aim

The National Journal of Signal and Image Processing (NJSIP) aims to serve as a dedicated platform for the dissemination of high-quality research and advancements in the fields of signal processing and image processing. The journal seeks to promote national-level collaboration and innovation by publishing original research articles, review papers, and case studies that contribute to the theoretical foundations, technological developments, and practical applications in these rapidly evolving areas.

Scope

The scope of the journal includes, but is not limited to, the following topics:

Signal Processing

  • Digital signal processing (DSP) algorithms and architectures

  • Audio, speech, and music signal processing

  • Biomedical signal analysis

  • Time-frequency and wavelet analysis

  • Signal compression, enhancement, and restoration

  • Adaptive filtering and multirate signal processing

  • Statistical and machine learning methods in signal processing

Image Processing

  • Image acquisition and preprocessing

  • Image segmentation, enhancement, and restoration

  • Feature extraction and pattern recognition

  • Image compression and coding techniques

  • Computer vision and object detection

  • Medical image analysis

  • Remote sensing and satellite image processing

Emerging and Interdisciplinary Areas

  • Deep learning for signal and image processing

  • Multimedia signal and image analytics

  • Real-time processing and embedded systems

  • Applications in healthcare, surveillance, autonomous systems, and robotics

  • Internet of Things (IoT) and edge computing for image and signal analysis

The journal encourages submissions from academic researchers, industry professionals, and students working on innovative techniques and novel applications. It strives to bridge the gap between theory and real-world implementation, with a focus on fostering research with national relevance and technological impact.