Research

The department actively promotes research in the areas of Signal Processing, Radar, Nanoelectronics and Embedded Systems. The department has the well-established infrastructure and tools that are necessary for its academic and research programs and has been recognized by ISRO to host the IRNSS receiving station on the campus. The areas of research are:

VLSI Architecture for LTE Advanced Iterative Turbo Decoders for 4G Networks

The research proposes to examine communication channel, error in the communication channel, channel coding, convolution codes, code concatenation, turbo codes, decoding algorithms for turbo decoding such as SOVA, log-MAP and interleavers for turbo codes.

Design and Development of an Efficient Advanced Parallel ADC for High Computing Applications

This technique reduces the execution time up to 50% which in turn reduces the power dissipation for computation. For the proposed design, the work is planned to carry by developing a software reference model using MATLAB (Simulink or Code), compare the performance of the proposed design with conventional ADCs then develop a parallel ADC model using HDL programming (VERILOG/VHDL), synthesize the design and generate reports on power and time for comparison and analysis.

Nature Inspired Computation Based Floor Planning in VLSI

NIS can be used to adapt solutions to changing circumstances as VLSI floor planning is an important aspect in chip design. It involves the arrangement of a set of rectangular circuit modules on a chip to minimize total area and total interconnecting wire length without overlap between the two modules as production cost increases due to larger chip sizes, while there is an increase in power consumption due to longer wire lengths and thus, both will decrease system performance.

Measurement of Total Electronic Content (TEC) in the Ionosphere Using Dual Frequency GPS Receivers

Orbit Characterization of Space-Borne Synthetic Aperture Radar Performance Using Ground Deployed Corner Reflectors

Ultrasound Image Retrieval by Hierarchical Decomposing for Medical Image Application

This research focuses on the CBIR applications in the medical domain, discussion of challenges and opportunities in the medical domain, and speculations for future research. The research involves developing different methods for content based image retrieval.

Improved Content Based Medical Image Retrieval Using FCM & Multiple Texture Features

The objectives involve developing novel methods for image retrieval system based on FCM (fuzzy c-means clustering) using multiple texture features (hu moments and Gabor texture features) and multiple distance vectors.

Modeling and Simulation of Human Cardiovascular System Using Neuro-Fuzzy-Genetic Engine

The primary focus of this research is to develop a cardiovascular model for normal operations by using electronics circuit having different components.

Automatic Recognition and Analysis of Statistical Process Control Patterns Using Neural Network

Artificial Neural Networks (ANN) for SPC chart pattern recognition’s usage have motivated researchers to go ahead with it. The neural network technology and its application have overcome the few drawbacks in the traditional expert system approaches.

ISRO Sponsored Project – IRNSS

Indian Regional Navigational Satellite System (IRNSS) receiver has been installed in the department, used in mobile platform as a Rover to conduct application-oriented campaigns such as mapping and survey.

3 User Receivers has been sponsored by ISRO to the department which is inbuilt with IRNSS, GPS and GAGAN Receivers to perform positioning and Navigation studies in the Indian geographical region.

ISRO-RESPOND Research Project

On orbit characterization of space borne synthetic aperture Radar performance using ground deployed corner reflectors.

The objective of project