Course Details
Subject {L-T-P / C} : EC6507 : Signal Processing for Communication { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Poonam Singh
Syllabus
Fundamentals of signal processing: Continuous and Discrete signal : Signals and Hilbert space, Sampling, DTF, Filtering, Finite impulse response filter, FFT, Probability, Random Variables, and Stochastic Signal Processing: Probability axioms, Statistical Averages and Joint Moments , Moment Generation Function , Functions of Random Variables , Q-Function Multivariate Gaussian Distribution ,Uniform Density Function , Chi-Square Distribution, F Distribution ,Rayleigh Distribution, Rice Distribution, Central Limit Theorem , Discrete-Time Random Process, Stationary Processes, Estimated Functions , Power Spectrum , Stochastic Processes for Linear Systems. Detection of signal in noise: Bayes criterion, MAP, ML,NP, Min-Max, Multiple hypothesis,
Composite hypothesis and ROC curves and performance. Channel Estimation and blind identification: Channel estimators–ML, LS, GLS, MMSE, Adaptive Channel estimators: LMS, RLS, Channel models and blind identification-SISO, SIMO,MIMO.
Adaptive Equalisers: Linear, Adaptive Linear, Fractionally spaced, Decision feedback, Space–time and diversity. Design of a Digital Communication System:The Communication Channel ,The AMRadio Channel, The Telephone Channel Modem Design-The Transmitter , Digital Modulation and the Bandwidth Constraint , Signaling Alphabets and the Power Constraint,
Modem Design: the Receiver, Hilbert Demodulation, The Effects of the Channel, Adaptive Synchronization, Carrier Recovery, Timing Recovery.
DSP Hardware and implementation technologies for communication: TMS processors and SDR. Hardware limitations, A/D, filters, antennas, AGC, etc. Processing, programmability (flexibility) vs power consumption Digital signal processing role in SDR, and some examples FPGA/DSP and mixed programming platforms.
Course Objectives
- Study of fundamentals of signal processing, time and frequency domain analysis of the signals.
- Study of probability theory and random processes.
- Design of a digital communication system.
- DSP hardware and implementation technologies for communication.
Course Outcomes
Design of equalizers, modems DSP hardwares and their applications.
Essential Reading
- John Minkoff, Signal Processing Fundamentals and Applications for Communications and Sensing Systems, Artech House , New Edition,2002
- Hippenstiel, Ralph Dieter, Detection theory: applications and digital signal processing, CRC Press,2002
Supplementary Reading
- Sen M Kuo Bob and H Lee, Real time signal processing, John Wily & Sons, Inc. 2001
- John Minkoff, Signal Processing Fundamentals and Applications for Communications and Sensing Systems, Artech House , New Edition,2002
Journal and Conferences
- Hüseyin Arslan (Ed.), "Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems," Ser.Signals and Communication Technology, xviii, 470 p., I. edition, ISBN: 978-1-4020-5541-6, Springer, August 2007