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12. An ability to use modern Electronic Design Automation (EDA) tools, software and
electronic equipment to analyze, synthesize and evaluate Electronics and
Communication Engineering systems for multidisciplinary tasks.
13. Apply engineering and project management principles to one's own work and also to
manage projects of multidisciplinary nature
6. COURSE OBJECTIVES AND OUTCOMES
Course Objectives
Design digital communication systems, given constraints on data rate, bandwidth,
power, fidelity, and complexity.
Analyze the performance of a digital communication link when additive noise is
present in terms of the signal-to-noise ratio and bit error rate.
Compute the power and bandwidth requirements of modern communication systems,
including those employing ASK, PSK, FSK, and QAM modulation formats.
Design a scalar quantizer for a given source with a required fidelity and determine the
resulting data rate.
Determine the auto-correlation function of a line code and determine its power
spectral density.
Determine the power spectral density of band pass digital modulation formats.
Course outcomes :
Upon successful completion of this course, students have the ability to
1. Analyze digital and analog signals with respect to various parameters like bandwidth,
noise etc.
2. Demonstrate generation and reconstruction of different Pulse Code Modulation
schemes like PCM, DPCM etc.
3. Acquire the knowledge of different pass band digital modulation techniques like
ASK, PSK etc.
4. Calculate different parameters like power spectrum density, probability of error etc of
Base Band signal for optimum transmission.
5. Analyze the concepts of Information theory, Huffman coding etc to increase average
information per bit.
6. Generate and retrieve data using block codes and analyze their error detection and
correction capabilities.
7. Generate and decode data using convolution codes and compare error rates for coded
and uncoded transmission.
8. Familiar with different criteria in spread spectrum modulation scheme and its
applications.