noise-filtering
There are 16 repositories under noise-filtering topic.
maddevsio/mad-location-manager
Mad Location Manager is a library for GPS and Accelerometer data "fusion" with Kalman filter
wouterbulten/kalmanjs
Javascript based Kalman filter for 1D data
jaantollander/OneEuroFilter
Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.
Jash-2000/Autonomous-Navigation-of-Self-Balancing-Segway
Research Project for controller development of Autonomous Navigation of a self Balancing Segway Robot.
ak2502/noise-filtering
Filtering unwanted background noise from .wav files using different algorithms (Moving Average, Frequency Domain Filter and Spectral Subtraction)
winnieay/Background-Activity-Denoising-for-Event-Camera
An individual project related to denoising for event camera
ascender1729/ClearSpeak
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.
johnfmcrae/NoiseGenerator
The noise generator is a simple plugin which generates either white, pink or brown noise.
kochlisGit/Noise-Adaptive-Driving-Assistance-System
Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation
EGhamgui/Segmentation-of-Skin-Lesions
Detecting cancerous lesions by implementing a segmentation method based on histogram thresholding and color space optimization.
ArthurMangussi/FilterNoise
Codebase of the conference paper: Assessing Adversarial Effects of Noise in Missing Data Imputation
doguilmak/Spatial-Filtering-with-OpenCV
Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening.
domsoli/HDA-project
Indoor Human Walking Path Reconstruction from a FMWC Radar Signal
erdincakgun/KalmanFilter
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.
masud-technope/QUICKAR-Replication-Package-ASE2016
Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge
Siddhant-Ray/Audio-DeNoising-Using-Digital-Filters
An attempt to clean up a deterministic noise corrupted voice audio clipping using a combination of digital filtering techniques.