Implementation of Double Sideband Suppressed Carrier Analog Modulation

Resource Overview

Using cosine wave signals as an example, implement double sideband suppressed carrier analog modulation through MATLAB coding with detailed algorithm explanation and function descriptions

Detailed Documentation

In this article, we demonstrate double sideband suppressed carrier (DSB-SC) analog modulation using MATLAB coding with cosine wave signals as our example. This modulation technique is a fundamental communication method that efficiently transmits information over long distances. DSB-SC modulation converts baseband signals to radio frequency signals through precise modulation processes. MATLAB serves as a powerful programming language and development environment widely used in signal processing and communication system design. In this implementation, we utilize MATLAB's signal processing toolbox to simulate and modulate cosine wave signals, employing key functions such as ammod() for amplitude modulation and defining carrier frequency parameters to better understand and investigate the working principles of this modulation technique. The code implementation involves generating baseband cosine signals, creating high-frequency carriers, and mathematically multiplying them to achieve the suppressed carrier modulation effect while preserving both sidebands.