Python script for QPSK modulation and demodulation. It first generates 16 bits binary signal then perform modulation, add noise and demodulate the signal. Since, we add some noise after modulation, demodulated signal obtained does not exactly matches with the original signal.

This document provides Python code for BPSK, QPSK, 16QAM, and 64QAM modulation schemes. Introduction: Digital modulation techniques, such as QPSK, 16QAM, and 64QAM, enhance bandwidth efficiency by mapping multiple bits onto a single carrier.

Python code implementing QPSK mapping and demapping for digital communication systems, showcasing data modulation and demodulation techniques.

The "Digital_Modulation_Py" repository by Kevin-Vivas is a visually captivating resource for exploring various digital modulation techniques, including QPSK, PSK, and QAM, using Python. Here's a brief summary of its key features:

Jun 8, 2022 · An easy guide to writing a PSK and QAM modulator in Python! Explains the math in a simple way, uses images and gives Python code to demonstrate concepts.

Oct 19, 2010 · Quadrature Phase Shift Keying (QPSK) is a form of phase modulation technique, in which two information bits (combined as one symbol) are modulated at once, selecting one of the four possible carrier phase shift states. Therefore, the four possible initial signal phases are \ (\pi/4, 3 \pi/4, 5 \pi/4\) and \ (7 \pi/4\) radians.

Aug 30, 2024 · Welcome to the Digital_Modulation_Py repository! This repository provides digital modulation techniques, including QPSK,PSK and QAM,using Python. Estimation and correction of IQ imbalance in a QPSK modulation.

The code realizes QPSK modulation, which uses the principle of IQ modulation to divide the digital baseband signal into I and Q channels, which are then multiplied by the carrier wave, and finally added to obtain the modulated signal.

We’ll explore the basics of QPSK, highlight the differences between QPSK and BPSK (Binary Phase Shift Keying), and offer links to QPSK modulation MATLAB and Python code. QPSK is a digital modulation technique known for its bandwidth efficiency.

As a short Python example, let’s generate QPSK at baseband and plot the constellation. Even though we could generate the complex symbols directly, let’s start from the knowledge that QPSK has four symbols at 90-degree intervals around the unit circle.