Signal Processing at IgMin Research | Engineering Group

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.


Signal Processing is a pivotal field in modern engineering that focuses on the analysis, manipulation, and interpretation of signals to extract meaningful information. The world is full of signals – from audio and video signals in our everyday communication to medical signals that aid in diagnosis and monitoring. Signal processing techniques play a crucial role in transforming raw data into valuable insights across various domains, such as telecommunications, image and video processing, audio analysis, and more.

In the ever-evolving landscape of technology, Signal Processing serves as the backbone for advancements in fields like machine learning, artificial intelligence, and data analytics. Researchers in this domain explore innovative algorithms, mathematical models, and computational methods to enhance signal quality, extract relevant features, and enable efficient data transmission and storage.

Signal Processing covers a wide array of subfields and applications. Some of the key scopes within Signal Processing include:

  • Digital Signal Processing
  • Image Processing
  • Audio Signal Processing
  • Speech Processing
  • Video Processing
  • Biomedical Signal Processing
  • Radar Signal Processing
  • Sonar Signal Processing
  • Communication Signal Processing
  • Wireless Communication
  • Optical Signal Processing
  • Signal Filtering
  • Wavelet Transform
  • Time-Frequency Analysis
  • Signal Compression
  • Pattern Recognition
  • Signal Reconstruction
  • Adaptive Signal Processing
  • Statistical Signal Processing
  • Signal Denoising
  • Signal Segmentation
  • Signal Detection
  • Signal Classification
  • Signal Localization
  • Signal Modulation