Mad Location Manager is a library for GPS and Accelerometer data "fusion" with Kalman filter

Javascript based Kalman filter for 1D data

Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.

Research Project for controller development of Autonomous Navigation of a self Balancing Segway Robot.

Filtering unwanted background noise from .wav files using different algorithms (Moving Average, Frequency Domain Filter and Spectral Subtraction)

An individual project related to denoising for event camera

ClearSpeak is a real-time audio transcription application using Google's Speech-to-Text API. It features a Tkinter-based GUI, filtering background noise, and providing clear speech transcription.

The noise generator is a simple plugin which generates either white, pink or brown noise.

Detecting cancerous lesions by implementing a segmentation method based on histogram thresholding and color space optimization.

Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation

Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening.

Codebase of the conference paper: Assessing Adversarial Effects of Noise in Missing Data Imputation

Indoor Human Walking Path Reconstruction from a FMWC Radar Signal

An attempt to clean up a deterministic noise corrupted voice audio clipping using a combination of digital filtering techniques.

The `KalmanFilter` class implements the Kalman Filter algorithm for estimating the state of linear dynamic systems using noisy measurements. The class accepts system matrices, initial state, and covariance, and provides `predict` and `update` methods for state prediction and refinement based on new observations.

Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge