Course11710514459 lectures
Modern Digital Communication Techniques
Prof. Suvra Sekhar Das · IIT Kharagpur
About
The course Modern Digital Communication Techniques in taught in IIT Kharagpur as a 4 credit (4 hrs / week) core subject in the Masters program of Telecommunications systems engineering in the department of Electronics and Electrical Communication Engineering. It is taken in the first semester by master degree students, PhD students and Masters by research students. It is also taken as elective by final year UG students. It is also taken as a core subject by Dual degree students who specialize in the field of communication engineering.
Digital communications has had one of the most profound influences in the development of the mankind. It is behind the success of today’s networked society. The objective of this course is to present the engineering principles, theories and practices, which are fundamental to the successful design of a digital communication system.
The course will delve into the design principles of transmitter and receiver so as to establish a reliable communication link. This course aims at enabling the participants to establish unambiguous mathematical statements describing every step of transmitting and receiving a signal through a communication link. It aims at exposing the details of noise, its modeling and its effect on communication systems design. It will cover methods of performance analysis of digital communication systems. Through use of fundamental knowledge developed in related areas of signal processing, the course aims at presenting a unified way of analyzing and designing a digital communication system. It will encompass fundamental aspects of estimation and detection theory, which are crucial in designing a complete receiver (synchronization, channel equalization, etc.).
At the end of the course, the participant will be equipped with methods of systematic representation, analysis and design of a digital communication system which are essential in designing communication systems with complex and futuristic requirements.
INTENDED…
Lectures
Week 1
- Lecture 1: Introduction of Digital Communication System
- Lecture 2: Introduction of Digital Communication System (Contd.)
- Lecture 3: Introduction of Digital Communication System (Contd.)
- Lecture 4: Introduction of Digital Communication System (Contd.)
- Lecture 5: Introduction of Digital Communication System (Contd.)
Week 2
- Lecture 6: Source Coding
- Lecture 7: Source Coding (Contd.)
- Lecture 8: Source Coding (Contd.)
- Lecture 9 : Source Coding (Contd.)
- Lecture 10 : Source Coding (Contd.)
Week 3
- Lecture 11 : Source Coding (Contd.)
- Lecture 12 : Source Coding (Contd.)
- Lecture 13 : Source Coding (Contd.)
- Lecture 14 : Source Coding (Contd.)
- Lecture 15 : Analog to Digital Conversion
Week 4
- Lecture 16 : Analog to Digital Conversion (Contd.)
- Lecture 17 : Characterization of Signals and Systems
- Lecture 18: Characterization of Signals and Systems (Contd.)
- Lecture 19 : Characterization of Signals and Systems (Contd.)
- Lecture 20 : Characterization of Signals and Systems (Contd.)
Week 5
- Lecture 21 : Characterization of Signals and Systems (Contd.)
- Lecture 22 : Characterization of Signals and Systems (Contd.)
- Lecture 23 : Characterization of Signals and Systems (Contd.)
- Lecture 24 : Memoryless Modulation
- Lecture 25 : Memoryless Modulation (Contd.)
Week 6
- Lecture 26 : Memoryless Modulation (Contd.)
- Lecture 27 : Memoryless Modulation (Contd.)
- Lecture 28 : Memoryless Modulation (Contd.)
- Lecture 29 : Memoryless Modulation (Contd.)
- Lecture 30 : Memoryless Modulation (Contd.)
Week 7
- Lecture 31: Memoryless Modulation (Contd.)
- Lecture 32: Memoryless Modulation (Contd.)
- Lecture 33: With Memory Modulation
- Lecture 34: With Memory Modulation (Contd.)
- Lecture 35: With Memory Modulation (Contd.)
Week 8
- Lecture 36: With Memory Modulation (Contd.)
- Lecture 37: With Memory Modulation (Contd.)
- Lecture 38: With Memory Modulation (Contd.)
- Lecture 39: With Memory Modulation (Contd.)
- Lecture 40: Optimum Receivers for AWGN
Week 9
- Lecture 41: Optimum Receivers for AWGN (Contd.)
- Lecture 42: Optimum Receivers for AWGN (Contd.)
- Lecture 43: Optimum Receivers for AWGN (Contd.)
- Lecture 44: Optimum Receivers for AWGN (Contd.)
- Lecture 45: Optimum Receivers for AWGN (Contd.)
Week 10
- Lecture 46: Performance of Digital Modulation Techniques
- Lecture 47: Performance of Digital Modulation Techniques (Contd.)
- Lecture 48: Performance of Digital Modulation Techniques (Contd.)
- Lecture 49: Performance of Digital Modulation Techniques (Contd.)
- Lecture 50: Performance of Digital Modulation Techniques (Contd.)
Week 11
- Lecture 51: Performance of Digital Modulation Techniques (Contd.)
- Lecture 53: Channel Estimation and Equalization
- Lecture 54: Channel Estimation and Equalization (Contd.)
- Lecture 55: Channel Estimation and Equalization (Contd.)
Week 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Electrical Engineering
- Teacher
- Prof. Suvra Sekhar Das
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed