EC737 Signal Processing for Communication Systems

Course Name: 

EC737 Signal Processing for Communication Systems

Programme: 

M.Tech (CE)

Semester: 

First

Category: 

Programme Core (PC)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Overview of digital transceiver architectures, Digital and analog interface, Lowpass, Bandpass and Quadrature sampling, Complex (or vector) signal processing, Nyquist criteria for ISI free communication, Digital Filters: Filter specifications, Filter design methods, Nyquist and square root Nyquist filters, Multirate Signal Processing: M-fold decimator and L-fold expander, sample rate conversion, noble identities, polyphase representations, interpolated FIR technique, Digital algorithms for communication systems, Baseband PAM transceiver, Eye patterns in PAM systems, Channel equalization, BPSK, BFSK, DPSK, QPSK, GMSK, QAM transceivers, the impact of frequency offset and phase offset on the baseband equivalent of passband channels, Digital frequency synthesis, Signal tuning, Maximum likelihood phase estimation, Carrier Acquisition and Tracking, Timing recovery, All digital radio architectures, Channelization, Case studies.

References: 

Michael Rice, “Digital Communications: A Discrete Time Approach”, First Edition, Pearson Education, 2009.
Qasim Chaudhari, “Wireless Communications from the Ground Up: An SDR Perspective”, Independently published, 2018.
Marvin E. Frerking, “Digital Signal Processing in Communication Systems”, Chapman & Hill, 1993.
Charles Chien, “Digital Radio Systems on a Chip: A Systems Approach”, Kluwer Academic Publishers, 2001.
Steven A. Tretter, “Communication System Design using DSP Algorithms with Laboratory Experiments for the TMS320C6713 DSK”, Springer, 2008.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Prof. Ramesh Kini M.
Professor and Head,
Department of ECE, NITK, Surathkal,
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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