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AKTU Signal System (BEC403) Syllabus PDF – B.Tech 2nd Year

Signal System BEC403

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  • Semester 4
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Official AKTU syllabus of Signal System (BEC403) for B.Tech 2nd Year – 3 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Signal System

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BEC403 · 3 credits · L-T-P 3-1-0

UnitTopicsLectures
ISignals and systems as seen in everyday life, and in various branches of engineering and science, energy and power signals, continuous and discrete time signals, continuous and discrete amplitude signals, system properties: linearity, additivity and homogeneity, shift-invariance, causality, stability, realizability.8
IILinear shift-invariant (LSI) systems, impulse response and step response, convolution, input-output behaviour with aperiodic convergent inputs, characterization of causality and stability of linear shift invariant systems, system representation through differential equations and difference equations, Periodic and semi-periodic inputs to an LSI system, the notion of a frequency response and its relation to the impulse response8
IIIFourier series representation, Fourier transform, convolution/multiplication and their effect in the frequency domain, magnitude and phase response, Fourier domain duality, Discrete-Time Fourier Transform (DTFT) and the Discrete Fourier transform (DFT), Parseval's Theorem, the idea of signal space and orthogonal bases, the Laplace transform, notion of Eigen functions of LSI systems, a basis of Eigen functions, region of convergence, poles and zeros of system, Laplace domain analysis, solution to differential equations and system behaviour.8
IVThe z-Transform for discrete time signals and systems-Eigen functions, region of convergence, z-domain analysis.8
VThe sampling theorem and its implications- spectra of sampled signals, reconstruction: ideal interpolator, zero-order hold, first-order hold, and so on, aliasing and its effects, relation between continuous and discrete time systems.8

Text/Reference books:

  1. A.V. Oppenheim, A.S. Willsky and I.T. Young, "Signals and Systems," Pearson, 2015.
  2. R.F. Ziemer, W.H. Tranter and D.R. Fannin, "Signals and Systems - Continuous and Discrete," 4th edition, Prentice Hall, 1998.
  3. B.P. Lathi, "Signal Processing and Linear Systems," Oxford University Press, 1998.
  4. Douglas K. Lindner, "Introduction to Signals and Systems," McGraw Hill International Edition: 1999.
  5. Simon Haykin, Barry van Veen, "Signals and Systems," John Wiley and Sons (Asia)Private Limited, 1998.
  6. V. Krishnaveni, A. Rajeswari, “"Signals and Systems," Wiley India Private Limited,2012.
  7. Robert A. Gabel, Richard A. Roberts, "Signals and Linear Systems," John Wiley and Sons, 1995.
  8. M. J. Roberts, "Signals and Systems - Analysis using Transform methods and MATLAB," TMH, 2003.
  9. J. Nagrath, S. N. Sharan, R. Ranjan, S. Kumar, "Signals and Systems," TMH New Delhi,2001.
  10. A. Anand Kumar, “Signals and Systems,” PHI 3rd edition, 2018.
  11. D. Ganesh Rao, K.N. Hari Bhat, K. Anitha Sheela, “Signal, Systems, and Stochastic Processes,” Cengage publication, 2018.

Course Outcomes

  1. Analyze different types of signals.
  2. Analyze linear shift-invariant (LSI) systems.
  3. Represent continuous and discrete systems in time and frequency domain using Fourier series and transform.
  4. Analyze discrete time signals in z-domain.
  5. Study sampling and reconstruction of a signal.

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