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adc-employee-identification-system-on-simulink

Speech recognition to mark employee attendances. The system was mapped and simulated end to end on Simulink.

assignment-2-with-monitoring-package

bicycle-forward-kinematics

city-country-parser

parses the city country dataset taken from https://simplemaps.com/data/world-cities into two arrays. for use in seeding to a database.

color-based-image-classification-and-search

Notebook implements K-Means clustering for making color clusters. These clusters are then used to search based on a color-search-query

cs-224-a-game-of-pigeons

Game of pigeons OOP spring 2020

debug-react--on-chrome-vscode-configuration

Configure ReactJS debugger on vscode

digital-clock

Digital Clock for AVR ATmega328p chip

digital-filter-design

django_polling_app

dsp-basics

Basic DSP operations to get started with

dubins-path-pp

Dubins path for path planning of UAV

electrical-design-of-transmission-lines

exploration-rover-reduced-model

extended-kalman-filter-algorithm

The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.

face-mask-detection-using-mobilenetv2

Face mask detection using MobileNet architecture

feedback-linearization-pendulum

fourier-series-square-pulse-train-

Synthesis of square pulse train using fourier series for Teaching Elementary signals and systems concepts

fractal-tree

Fractal Tree index implemented in Python for the course CS-201: Data Structures II

gaussian-observation-and-noise-lmse-estimator

LMS-based Estimator in case of Gaussian input signal with added Gaussian disturbance.

gddtemplate

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

githubworkshop

icpc_regional_practice

inverse-kinematics-for-wmr

jupyter-ros

Jupyter widget helpers for ROS, the Robot Operating System

kalman-filter-algorithm

Kalman Filter algorithm simulation with Markov process for state estimation.

learning-github-actions

least-mean-square-estimation-lack-of-observation

This repository verifies through simulation on MATLAB the LMS estimator criterion in case of "Lack of observation". Three different distributions: Uniform, Gaussian and Rayleigh are used to verify the criterion. For each case, deviating from the LMSE criterion results in very large increase in LMS Cost.

line-following-robot-lfr

Line Following Robot coded in Arduino for the course EE 375: Micro-controllers and interfacing, Fall 2020 at Habib University