
Discover the fundamentals of digital communications, including information sources, analog to digital conversion, sampling, quantization, coding, and the transmitter–channel–receiver block diagram under noise and reliability considerations.
Define information as surprise linked to probability, and apply entropy, information content in bits, and source coding to discrete, independent sources.
Explore entropy, information content, and how symbol probabilities affect information conveyed; analyze binary sources, entropy calculations, and contrast lossless and lossy data compression with the source coding theorem.
Learn how channel coding protects transmitter signals from noise through error detection and forward error correction, using block and stream encoding and parity checks to detect and correct errors.
Explore the fundamentals of modulation by linking analog and digital domains, and distinguish baseband and bandpass transmission with common signaling techniques such as NRZ, unipolar, bipolar, and Manchester variants.
Explore digital modulation methods, focusing on pulse code modulation and delta modulation, including adaptive delta modulation, sampling, quantization, and bandwidth considerations for PCM, with transmitter and receiver architectures.
Explore modern modulation techniques for digital communication, including binary phase shift keying, differential phase shift keying, quadrature schemes, frequency and amplitude shift keying, and on-off keying.
The lecture explains spread spectrum communication and its two methods: frequency hopping and direct sequence. It covers how spreading data over wide bandwidth using pseudo-noise increases security.
Explore code division multiple access (cdma) by multiplying data with a spreading chip sequence, using orthogonal pseudo-noise codes to support multiuser transmission with low interference.
Digital communication has proliferated in a big way in the previous years. Digital communication is the physical transfer of data over Point-To-Point or Point-To-Multipoint communication channel. It is transfer of discrete messages. Digital communication plays a vital role in today’s electronic world. In digital communication the data transfer rate depends upon it’s characteristics. Communications technology that intimidated many of us just a few years ago is now a part of everyday life. The conventional methods of communication used analog signals for long distance communications, which suffer from many losses such as distortion, interference, and other losses including security breach.
In order to overcome these problems, the signals are digitized using different techniques. The digitized signals allow the communication to be more clear and accurate without losses. Digital communication is the process of devices communicating information digitally. This course will help students to get a good idea on how the signals are digitized and why digitization is needed. By the completion of this course, the student will be able to understand the conceptual details involved in digital communication.
In this course, students will be able to learn some essential things about Digital Communications like components, Information Theory, Channel Coding, Entropies, Modulation Techniques, Spread Spectrum Communication.