Digital Communication with Python

communication simulation (Communication Signal Processing LAB)

Simulation of Digital Communication in Python

Simulation of a communication channel written in Python

Laboratory Files for course EE 340 Communications Lab

Library for implementation of Data Compression, Encryption and Error Detection & Correction algorithms used in Digital Communication using both hardware description and software programming languages

Communications Lab - Autumn Semester 2022 - Indian Institute of Technology Bombay

Develop a simulation platform1 for a communication system transmitting information over an additive white Gaussian noise (AWGN) multipath channel. Use the simulation platform developed in Practical 1 to develop a simulation platform that includes the effect of multipath in the received signal, where the channel impulse response (CIR) length is L…

Develop two similation platforms to encode and decode BPSK-modulated information through and AWGN channel (no multipath). Use the BPSK simulation platform developed in Practical 1 to develop the simulation platforms to generate uncoded data blocks of length Nu = 100.

This repository contains the solutions to all the tasks that were a part of the course EE 340 - Communications Lab in Spring 2021 (run in online mode) at IIT Bombay

baseband transmission simulation over different SNRs adding normal distribution noise and comparing theoretical BER with simulated BER

Basic Digital and Analog Communication scripts for demo purpose only.