Vimal 's Projects
This project investigates the contribution of topography to gravity measurements and how it affects various derived quantities. It explores methods for modeling the topography and computing its gravitational influence.
This repository contains the analysis and optimization of calibration variants for a specific imaging system. Through multiple iterations and adjustments to the stochastic model, different calibration variants are explored to determine the most suitable configuration for the imaging system.
This project investigates the secular and periodic perturbations of Keplerian orbital elements due to Earth's oblateness (dynamical flattening). The code will calculate and analyze perturbations for the CHAMP satellite, with visualizations to demonstrate their effects.
Background subtraction is a crucial technique in image sequence analysis, particularly in scenarios like video surveillance for pedestrian detection and tracking. This algorithm aims to distinguish between the background and foreground of an image sequence, enabling effective object detection and tracking.
This exercise focuses on processing Global Navigation Satellite Systems (GNSS) data, particularly emphasizing double differences (DD) and cycle slip detection. The dataset provided represents a static GPS measurement campaign conducted in a densely populated urban environment, comprising five stations labeled HH01 to HH05.
This repository contains MATLAB scripts and code snippets for analyzing and resolving ambiguities in positioning systems, with a focus on integrity analysis. The scripts provide implementations of algorithms and techniques for resolving ambiguities in positioning data, computing integrity metrics, and visualizing the results.
Explore GPS C/A Code Analysis in MATLAB. Generate codes for satellites, compute auto/cross-correlations, assess noise effects, and discuss receiver tracking. Gain insights into GPS signal behavior and signal processing techniques.
This repository contains Python code for image analysis tasks, focusing on point detection using the Harris, Foerstner operators, as well as edge pixel detection using the Canny edge detector,line detection using the Hough transformation, and image segmentation using region growing and watershed transformation.
Image Processing :A collection of Python scripts implementing various image processing techniques including smoothing, histogram manipulation, and gradient computation. Explore implementations of Gaussian and median filters, histogram normalization and equalization, as well as gradient magnitude and orientation calculations."
Simulink implementation of Kalman filters (standard, extended, unscented) for respiratory signal processing, including noise reduction, state estimation, and [insert any specific applications].
This repository implements numerical integration of the Kepler problem for the CHAMP satellite orbit, assuming zero eccentricity and inclination of 90 degrees. It compares analytical and numerical solutions and explores the impact of step size on a custom integrator. (Uses MATLAB)
This project investigates the latency between angle and distance measurements using automatic total stations, focusing on Leica TS30 and Leica Nova MS50 models. Students utilize the GeoCOM command set for total station control and data acquisition, building upon their previous work in lab exercises.
The provided information seems to pertain to orbital mechanics rather than respiratory systems. Here's a breakdown of the steps assuming you have the basic code structure from the previous Kepler problem:
This repository contains MATLAB code for implementing projective geometry techniques to determine the relative orientation of an image pair. The methods covered include estimating the Fundamental Matrix and the Essential Matrix, along with the implementation of a RANSAC-based approach for robustness against outliers.
Precise Point Positioning (PPP) is an advanced technique for absolute positioning using Global Navigation Satellite Systems (GNSS) with a single receiver. This approach relies on precise satellite orbit and clock information to achieve centimeter-level positioning accuracy. In this project, we process 4 hours of observation data from a Javad receiv
This project analyzes and visualizes the orbits, ground tracks, and visibility of five satellites using provided Keplerian elements and a geocentric reference system. MATLAB will be used for calculations and visualizations.