Page 58 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

3. Milsum John H, "Biological Control System Analysis", 2nd Edition, McGraw Hill
Publications, 1996

REFERENCES:
1. Farid Golnaraghi, Benjamin C. Kuo, ― “Automatic Control Systems”, Wiley, 9th edition
2009.
2. M.Gopal, ―Control System – “Principles and Design”, Mc Graw-Hill, 2nd edition 2006.
3. Constantine H. Houpis, Stuart N. Sheldon, ― “Linear Control System Analysis and Design
with MATLAB”, CRC Press, 6th edition 2013.
4. Richard C. Dorf & Robert H. Bishop, ― “Modern Control Systems”, Prentice Hall, 12th
edition 2010.
5. Joseph J. DiStefano, Allen R. Stubberud, Schaum's Outline of ― “Feedback and Control
Systems”, McGraw-Hill Education; 2nd edition 2013.

BM17503 SIGNALS AND SYSTEMS ANALYSIS L T P C
3 0 2 4

OBJECTIVES
• To understand the basic properties of signal & systems and the various methods of
classification
• To learn Laplace Transform &Fourier transform and their properties
• To know Z transform & DTFT and their properties
• To characterize LTI systems in the Time domain and various Transform domains

UNIT I CLASSIFICATION OF SIGNALS AND SYSTEMS 9
Continuous time signals (CT signals) - Discrete time signals (DT signals) - Step, Ramp, Pulse,
Impulse, Sinusoidal, Exponential, Classification of CT and DT signals - Periodic & Aperiodic
signals, Deterministic & Random signals, Energy & Power signals - CT systems and DT systems-
Classification of systems – Static & Dynamic, Linear & Nonlinear, Time-variant & Time-invariant,
Causal & Noncausal, Stable & Unstable.

UNIT II ANALYSIS OF CONTINUOUS TIME SIGNALS 9
Fourier series analysis-spectrum of Continuous Time (CT) signals- Fourier and Laplace
Transforms in CT Signal Analysis - Properties.

UNIT III LINEAR TIME INVARIANT- CONTINUOUS TIME SYSTEMS 9
Differential Equation-Block diagram representation-impulse response, convolution Integrals-Fourier
and Laplace transforms in Analysis of CT systems.

UNIT IV ANALYSIS OF DISCRETE TIME SIGNALS 9
Sampling – Nyquist Criteria- DTFT – Properties of DTFT - Z Transform – Properties of Z Transform

UNIT V LINEAR TIME INVARIANT-DISCRETE TIME SYSTEMS 9
Difference Equations-Block Diagram Representation-Impulse response - Convolution sum-
Discrete Fourier and Z Transform Analysis of Recursive & Non-Recursive systems

Practical:
1. Time Shifting, Time Reversing, Time Scaling
2. Construction of signals with different Frequencies.
3. Analyse the stability of an CT System with various inputs.
4. Analyse the stability of an DT System with various inputs.

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 58