Major project, part of 4 year B - Tech programme, under the guidance of Mr. B. Bhuvan, Assistant Professor, Dept. of Electronics and Communication Engineering, NIT Calicut.
In this project, a continuous time ramp generator with error correction is designed, which is to be used in a slope ADC for image sensing applications. Methods to reduce the time taken for error correction have also been explored. This work has led to two publications in international conferences so far. This work was also adjudged as the "Best B. Tech Project" in the Department of Electronics and Communication Engineering at the National Institute of Technology Calicut for the year 2019.
Associated publications
[C2] R. S. P. Sankar, L. Asish and B. Bhuvan, Design of Stable Error-Correction Ramp Generators Considering Process and Run-Time Variations, In Proc. of the IEEE Asia Pacic Conference on Circuits and Systems (APCCAS), Bangkok, Thailand, Nov. 2019.
[C1] L. Asish, R. S. P. Sankar, A. Krishnan and B. Bhuvan, High speed error correction in continuous-time ramp generators using loop gain optimization, In Proc. of the IEEE Region 10 Conference (TENCON), Kochi, India, Oct. 2019.
Summer internship (Analog Design) during May 7, 2018 to July 6, 2018 under the guidance of Mr. Shishir Goyal, Transceivers team, Texas Instruments India.
During this internship, I was involved in the design of a driver circuit compatible with RS-485 protocol, which is often used in motor drives, factory automation and control, HVAC systems, and video surveillance. I was able to develop a closed loop technique (i.e., feedback-based technique), which results in reduced supply current requirements leading to lower power consumption in RS-485 drivers.
Minor project, part of 4 year B - Tech programme, under the guidance of Mr. B. Bhuvan, Assistant Professor, Dept. of Electronics and Communication Engineering, NIT Calicut.
This project involved the study of various challenges in ECG signal acquisition and the impact of ECG electrode used in the circuit design. Various sources of noises were explored, and suitable conditioning circuits have been designed. An ADC is also characterized as a part of this project. The designed circuit was tested by carrying out real time ECG data acquisition from a human subject and by displaying the acquired waveform on a computer screen.