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python_basic_image_processing

This folder contains the code for basic image processing methods done in python.

rf--harmonics-intermodulation-products-calculator

The purpose of this mini project is to design a “calculator” of Harmonic and Intermodulation components that are generated due to non-linearities of the RF receiver (Particularly Amplifiers). It will accept 2 OR 3 input frequencies (in MHz) and generate the Harmonic and IM components separately as outputs. The repeated results both within and across orders are eliminated. Everything is summarized in a way that allows one to determine which transmitters are the most likely offenders. Phantom results are also eliminated.

robotics

Rbotics Course Work

robotics-final-project-files

robotics-project

sdfast

simulation-of-image-rejection-filters-in-rf

Hartley and Weaver Image Rejection Filter Simulation

simulations-of-simple-pendulum

A MATLAB Simulation of a Non Linear Simple Pendulum to explain various stability states (i.e. asymptotically stable, marginally stable etc.)

stbl

MATLAB library for working with alpha stable distributions

stochastic-simulations-proj1-uniform-distribution

Bernoulli Trials- Biased & Unbiased Coin Flips - Uniform Distribution

stochastic-simulations-proj3-poisson-sample-with-bernoulli-approximation

Solutions to problems using Beroulli Trials, Poisson Distribution, Inverse transform method, Accept Reject Sampling and some Comparisons

stochastic-simulations-proj4-monte-carlo-simulations-chi-square-test-interval-estimation

Integral Approx using Monte-Carlo simulations, Chi-squared test on Empirical Distribution, Bootstrap sampling & Interval Estimate of 'Old faithful' geyser's geothermal discharge using data from 272 eruptions since 2000.

stochastic-simulations-proj6-continuous-sampling

Pseudo-random number sampling using Box-muller method and Polar Marsaglia Method, Gamma Distribution, Sampling from Alpha stable dsitributions using Chambers-Mallows-Stuck method

stochastic-simulations-proj7-expectation-maximization

Multivariate Gaussian distribution, Mixture Distribution, Expectation- Maximisation(EM) Algorithm on a 2D Gaussian Mixture Model(GMM), Comparison of quality and speed of GMM-EM estimates for different GMM distributionsn, K-means clustering routine, GMM-EM algorithm for pdf fitting

stochastic-simulations-proj8-markov-chain-monte-carlo-optimisation-minimum-path

Stratification and importance sampling in Monte Carlo Estimation Simulation, Gibbs Sampling, Optimisation using Schwefel fuction - global minimum using simulated annealing, Simulation using exponential, polynomial and logarithmic colling schedule, Simulated annealing simulation to determine a minimal path between 48 US state capitals by road beginning from Sacramento, California.

team-project-in-robotics--balance-step-walk-tasks-on-nao-robot

Robotics Final Project : Balancing, Stepping and Walking Tasks on Nao Robot

tensorflow

An Open Source Machine Learning Framework for Everyone