WITH EFFECT FROM THE ACADEMIC YEAR 2011 - 2012

 

EC 253

 

SIGNAL ANALYSIS AND TRANSFORM TECHNIQUES

 

Instruction                                                4              Periods per week

Duration of University Examination    3              Hours

University Examination                          75            Marks

Sessional                                                   25            Marks

 

UNIT-I

 

Signals: Definitions and classifications, Analogy between vectors and signals, signal representation by a discrete set of orthogonal functions, orthogonality and completeness, Continuous-time, energy and power signals, Representation of Continuous-time signals: Fourier series – Trignometric and Exponential Fourier series, computational formulae, symmetry conditions, The complex Fourier spectrum.

 

Fourier Transform: The direct and inverse FT, existence of FT, Properties of FT, The Frequency Spectrum.

 

UNIT-II

 

Laplace Transform: The direct LT, Region of convergence, existence of LT, properties of LT. The inverse LT, Solution of differential equations, system transfer function. Linear Convolution: Graphical interpretation, properties of convolution, Correlation: Auto and Cross correlation, graphical interpretation, properties of correlation.

 

UNIT-III

 

Discrete-time signals and systems: Sampling, classification of DT signals, Discrete-time energy and power signals, Linear Shift invariant systems, Stability and Causality, Linear constant coefficient systems, Frequency domain representation of discrete time systems and signals.

 

Linear Convolution: Graphical interpretation, properties of convolution. Correlation: Auto and Cross correlation, graphical interpretation, properties of correlation.


 

 

 

 

31                                                                                                                                      32


UNIT- IV

 

Z-Transform: The direct ZT, Region of convergence, Z-plan e and S-plane correspondence. Inverse ZT, Properties of Z-transforms, Solution to linear difference equations, System transfer function.

 

UNIT- V

 

Discrete Fourier series, Sampling the z-transform, Discrete Time Fourier Transform (DTFT), properties of DTFT, Discrete Fourier Transform(DFT), properties of DFT, Linear convolution using DFT.

 

Suggested Reading:

 

  1. 1.B.P. Lathi, Signals, Systems and Communication, BS Publications, 2006.

 

  1. 2.Luis F. Chaparro, Signals and Systems using MATLAB, Academic press, 2011

 

  1. 3.Alan V. Oppenheim and Ronald W. Schafer, Digital Signal Processing, PHI, 2008.

 

  1. 4.P. Ramakrishna Rao, Signals and Systems, McGraw Hill, 2008.

 

  1. 5.Alan V. Oppenheim, Alan S. Wilsky and S. Hamid Nawab, Signals and Systems, 2nd ed., PHI, 2009.
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