This course introduces a rigorous analytical treatment of modern digital communication systems, including digital modulation, demodulation.
Digital communications. University Credits. 6. Course Objectives. The corse introduces the modern techniques of digital transmission and coding of information.
It provides the fundamental transmission and coding techniques used by modern telecommunication systems. Course Programme. The course is aimed at students with a basic knowledge of electrical communication and signal theory.
Online resources for Modern Digital and Analog Communication Systems, 4/e, Communications enginering,telecom,mobile,B.P. Lathi & Zhi.
The course introduces and analyzes the performance of transmission and coding techniques used in modern digital communication systems. Information Theory. Entropy and information. Channel capacity.
Fundamental theorems of Shannon. Transmission over AWGN channel. Elements of linear digital modulations.
- Lectures, MWF 2:15-3:05pm in 380-380F (near Math/Psych courtyard). Textbook, Modern Digital and Analog Communications Systems, 4th ed.
- The modern wireless Communication Systems Video Lecture, IIT Delhi ELEC3104 Digital Signal Processing by The University of New South Wales; The.
- The course is a comprehensive introduction to the design and analysis of major parts of modern digital communication systems. Transmission of digital.
Digital frequency and continuous phase modulations. Nyquist criterion for avoiding intersymbol interference (ISI). Shaping filters. Optimum receivers and error probabilities. Transmission over fading channel and synchronization algorithms. Carrier and symbol timing synchronization.
Linear filter equalization. Maximum likelihood sequence estimation (MLSE) receiver. Spread spectrum techniques. Multiple access channels. OFDM modulation. MIMO architectures.
Channel coding. Codes for error detection and correction.
Algebraic codes. Maximum likelihood decoding of convolutional codes. Concatenated codes. Capacity approaching codes (turbo and LDPC codes). Iterative algorithms of decoding. Course Entry Requirements.
The course is aimed at students with a basic knowledge of electrical communication and signal theory. Course Structure and Teaching.