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)

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.

An individual project related to denoising for event camera

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

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.

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

Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge