MD3213 SIGNALS AND SYSTEMS SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 4TH SEM SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FOURTH SEMESTER BE MEDICAL ELECTRONICS ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
MD3213 SIGNALS AND SYSTEMS L T P C
3 1 0 4
UNIT I REPRESENTATION OF SIGNALS 9
Continuous and discrete time signals: Classification of Signals – Periodic aperiodic even
– odd – energy and power signals – Deterministic and random signals – complex
exponential and sinusoidal signals – periodicity – properties of discrete time complex
exponential unit impulse – unit step impulse functions – Transformation in independent
variable of signals: time scaling, time shifting. Determination of Fourier series
representation of continuous time and discrete time periodic signals – Explanation of
properties of continuous time and discrete time Fourier series.
UNIT II ANALYSIS OF CONTINUOUS TIME SIGNALS AND SYSTEMS `9
Continuous time Fourier Transform and Laplace Transform analysis with examples –
properties of the Continuous time Fourier Transform and Laplace Transform basic
properties, Parseval’s relation, and convolution in time and frequency domains.
Basic properties of continuous time systems: Linearity, Causality, time invariance,
stability, magnitude and Phase representations of frequency response of LTI systems -
Analysis and characterization of LTI systems using Laplace transform: Computation of
impulse response and transfer function using Laplace transform.
UNIT III SAMPLING THEOREM AND z-TRANSFORMS 9
Representation of continuous time signals by its sample - Sampling theorem –
Reconstruction of a Signal from its samples, aliasing – discrete time processing of
continuous time signals, sampling of band pass signals Basic principles of z-transform -
z-transform definition – region of convergence – properties of ROC – Properties of ztransform
– Poles and Zeros – inverse z-transform using Contour integration - Residue
Theorem, Power Series expansion and Partial fraction expansion, Relationship between
z-transform and Fourier transform.
UNIT IV DISCRETE TIME SYSTEMS 9
Computation of Impulse & response & Transfer function using Z Transform. DTFT
Properties and examples – LTI-DT systems -Characterization using difference equation
– Block diagram representation – Properties of convolution and the interconnection of
LTI Systems – Causality and stability of LTI Systems.
34
UNIT V SYSTEMS WITH FINITE AND INFINITE DURATION IMPULSE
ESPONSE 9
Systems with finite duration and infinite duration impulse response – recursive and nonrecursive
discrete time system – realization structures – direct form – I, direct form – II,
Transpose, cascade and parallel forms.
TUTORIAL: 15 TOTAL : 60 PERIODS
REFERENCES
1. AlanV.Oppenheim, Alan S.Willsky with S.Hamid Nawab, Signals & Systems, 2nd
edn., Pearson Education, 1997.
2. John G.Proakis and Dimitris G.Manolakis, Digital Signal Processing, Principles,
Algorithms and Applications, 3rd edn., PHI, 2000.
3. M.J.Roberts, Signals and Systems Analysis using Transform method and MATLAB,
TMH 2003.
4. Simon Haykin and Barry Van Veen, Signals and Systems, John Wiley, 1999
5. K.Lindner, “Signals and Systems”, McGraw Hill International, 1999.
6. Monson .H. Hays,” Digital Signal Processing “, Schaum’s outlines, Tata McGraw-Hill
Co Ltd., 2004.
7. Ashok Amhardar, “Analog and Digital Signal Processing”, 2 nd Edition Thomson
2002.
MD3213 SIGNALS AND SYSTEMS L T P C
3 1 0 4
UNIT I REPRESENTATION OF SIGNALS 9
Continuous and discrete time signals: Classification of Signals – Periodic aperiodic even
– odd – energy and power signals – Deterministic and random signals – complex
exponential and sinusoidal signals – periodicity – properties of discrete time complex
exponential unit impulse – unit step impulse functions – Transformation in independent
variable of signals: time scaling, time shifting. Determination of Fourier series
representation of continuous time and discrete time periodic signals – Explanation of
properties of continuous time and discrete time Fourier series.
UNIT II ANALYSIS OF CONTINUOUS TIME SIGNALS AND SYSTEMS `9
Continuous time Fourier Transform and Laplace Transform analysis with examples –
properties of the Continuous time Fourier Transform and Laplace Transform basic
properties, Parseval’s relation, and convolution in time and frequency domains.
Basic properties of continuous time systems: Linearity, Causality, time invariance,
stability, magnitude and Phase representations of frequency response of LTI systems -
Analysis and characterization of LTI systems using Laplace transform: Computation of
impulse response and transfer function using Laplace transform.
UNIT III SAMPLING THEOREM AND z-TRANSFORMS 9
Representation of continuous time signals by its sample - Sampling theorem –
Reconstruction of a Signal from its samples, aliasing – discrete time processing of
continuous time signals, sampling of band pass signals Basic principles of z-transform -
z-transform definition – region of convergence – properties of ROC – Properties of ztransform
– Poles and Zeros – inverse z-transform using Contour integration - Residue
Theorem, Power Series expansion and Partial fraction expansion, Relationship between
z-transform and Fourier transform.
UNIT IV DISCRETE TIME SYSTEMS 9
Computation of Impulse & response & Transfer function using Z Transform. DTFT
Properties and examples – LTI-DT systems -Characterization using difference equation
– Block diagram representation – Properties of convolution and the interconnection of
LTI Systems – Causality and stability of LTI Systems.
34
UNIT V SYSTEMS WITH FINITE AND INFINITE DURATION IMPULSE
ESPONSE 9
Systems with finite duration and infinite duration impulse response – recursive and nonrecursive
discrete time system – realization structures – direct form – I, direct form – II,
Transpose, cascade and parallel forms.
TUTORIAL: 15 TOTAL : 60 PERIODS
REFERENCES
1. AlanV.Oppenheim, Alan S.Willsky with S.Hamid Nawab, Signals & Systems, 2nd
edn., Pearson Education, 1997.
2. John G.Proakis and Dimitris G.Manolakis, Digital Signal Processing, Principles,
Algorithms and Applications, 3rd edn., PHI, 2000.
3. M.J.Roberts, Signals and Systems Analysis using Transform method and MATLAB,
TMH 2003.
4. Simon Haykin and Barry Van Veen, Signals and Systems, John Wiley, 1999
5. K.Lindner, “Signals and Systems”, McGraw Hill International, 1999.
6. Monson .H. Hays,” Digital Signal Processing “, Schaum’s outlines, Tata McGraw-Hill
Co Ltd., 2004.
7. Ashok Amhardar, “Analog and Digital Signal Processing”, 2 nd Edition Thomson
2002.
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