Name: Arjun Menon Vadakkeveedu
Type: User
Bio: UG Senior, Electrical Engineering at IITM.
My interests are in Computer Architecture & Digital VLSI. I also enjoy playing with Analog, DSP and Deep Learning.
Location: Chennai, India
Arjun Menon Vadakkeveedu's Projects
Interpolation and Decimation of Audio Signals
A Deep Learning + Classical Control Based Approach for training an autonomous driving agent in CARLA Simulator to drive around without violating traffic rules.
Interactive Jupyter notebook introducing basic Computer Vision concepts such as Colour Spaces, Edge Detection and Hough Transforms
Assignment files from the graduate level Computer Architecture Course at IIT Madras.
Implementation of a 2-channel DFT Filter Bank designed to reconstruct an audio signal. Course work assignment for EE6133 Multirate Digital Signal Processing at IIT Madras.
Schematic and Layout libraries of digital logic gates and cells. Assignments and Projects of EE5311 at IIT Madras
5-stage Pipelined Implementation of RV32I ISA; includes single cycle implementation of the same and other assignments from EE2003 Computer Organisation (Fall 2020, IITM)
LTSpice Simulations of Analog Blocks used in EE2019 Analog Systems Lab (Spring 2020)
Scientific Python based code for simulating real world systems and implementing Signal Processing techniques. Done as a part of the Applied Programming Course offered by the EE department at IIT Madras in Spring 2020.
Assignments and Project files from EE5180, Introduction to Machine Learning (Spring 2021)
RF Integrated Circuits Design, Simulation and Analysis using ELDO circuit simulator (licensed)
GPU programs using CUDA framework; includes assignments and projects from CS6023 (Spring 2022, IITM)
Implementation of a Digital Spectrum Analyser on a Zynq 7000 FPGA evaluation board using a Hardware Accelerator to compute the Radix-2 FFT
Build a Jekyll blog in minutes, without touching the command line.
Deep Learning for humans
Reports of some of the projects I worked on in my third semester at IIT Madras
C implementation of popular numerical methods for function interpolation, quadrature integration, solving differential equations and implementing models of real world systems such as the Predator-Prey model, the Landau Lifshitz differential equation etc. Done as a part of the Numerical Methods course offered by the EE Dept. at IIT Madras in Fall 2018.
Working draft of the proposed RISC-V V vector extension
Investigating different approaches to accelerating Sparse Matrix-Vector multiplications on Hardware.