Simulation of Digital Communication (physical layer) in Python.
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Updated
Dec 8, 2022 - Python
Simulation of Digital Communication (physical layer) in Python.
A collection of Digital Signal Processing notebooks with a wireless communications theme.
An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.
A simulation of a complete digital communication system with different modulation schemes in MATLAB for transmitting and receiving text messages.
This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK
An open-source vibrato plugin with an extensive modulation system.
An Android template project for fast development and test.
High Performance Computing (HPC) and Signal Processing Framework
This repo contains simulation code for DI-S-MMSE Turbo Equalizer and LMMSE Equalizer applied to OTFS Modulation.
A Python package for software-defined radio
📻 Using Software Designed Radio to transmit & receive FM signal
Linear digital modems
Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018
Real life situations to examine, demodulate and generate RF signals with HackRF and GNU Radio Companion
Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.
QuanSheng UV-K5/K6/UV-5R Plus Custom Firmware Merge from: ▪ @OneOfEleven and ▪ @fagci Mod w. Spectrum Analyzer ▪ by @egzumer ▪ Enhanced by @RE3CON: Full freq range of BK4819 for TX and RX: 14MHz ~ 630MHz and 760MHz ~ 1879 MHz "ENABLE_TX_UNLOCK". 2nd ToneBurst 1750Hz and 1050Hz = PTT + Sidekey 1, PTT + Sidekey 2.
Pothos framework support for software defined radio hardware.
Great repository to learn PMSM control and modelling. It provides the basic tools to generate control calibrations based on the motor parameters, to tune the PID controllers within the controller, and to simulate both the controller and the plant.
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