Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

Python software for multipath analysis of GNSS observations

Python scripts for GNSS interferometric reflection applications

Python based DOCSIS modem performance metrics collection tool using the built-in HTML portal of common devices.

SoundMatchAnalyser (SMA) is a powerful tool designed to analyze and compare audio quality by evaluating the differences between two audio files

An automated and simple tool for fast quality analysis of animal MRI

A simple approach to observe the detectability and SNR improvement by adding noise in signal is presented in the form of a python code.

This repository extracts SNR data from GPS RINEX files and computes elevation and azimuth angles from the GPS navigation file. There are also various utilities (for downloading files).

Acoustic detection of a nocturnal bird with deep learning: the challenge of low signal-to-noise ratio

Repository ini dibuat untuk menampung code penghitungan MSE, SNR, dan PSNR untuk melakukan perbandingan Metode Compression Lossless dan Lossy

Developing a suitable way for applying histogram equalization for Color Images using RGB to HSI and RGB to YCbCr color space conversation. Comparing histogram equalized images using SNR/PSNR measures.

PyTorch U‑Net image colorization (LAB color space) — trained on COCO, includes evaluation (PSNR/SSIM/RMSE/SNR) and a Gradio demo.

canVODpy: An Open Python Ecosystem for GNSS-Transmissometry Canopy VOD Retrievals

110-01 NCU CE7057 Wireless Communications and Networks

Stage de découverte de l'entreprise dans l'Unité Mixte de Recherche 5157 entre le CNRS (laboratoire Samovar) et le département Communications, Images et Traitement de l'Information de Télécom SudParis

a Python Class including codes and methods to perform signal to noise ratio analysis on AES-128 Encryption

Tool for simulating X-ray tube parameters, analyzing image quality, and visualizing metrics with a PyQt5-based GUI.

SmartFusion is an IoT-based air quality monitoring system that enhances CO gas detection accuracy using multi-sensor data fusion. It integrates MQ-7 and DHT11 sensors with Kalman Filtering and Dempster–Shafer theory, transmitting real-time data via MQTT and HTTP to a cloud-connected Python gateway.

A desktop application for illustrating signal sampling and recovery based on the Nyquist–Shannon theorem. Users can load and compose signals, sample at various frequencies, visualize original and reconstructed signals in real-time, and explore different reconstruction methods, noise effects, and aliasing.

Educational and research-oriented implementation of neural symbol detectors for BPSK and QPSK in noisy and fading channels.