UNIT -I: Signals and signal processing
Characterization and classification of signals, Typical signal processing operations, Typical signal processing applications, Advantages of digital signal processing,
UNIT -II: Time domain representations of signals and systems
Discrete time signals, Operations on sequences, discrete time systems, Linear time invariant discrete time systems, Characterization of LTI systems
UNIT-III: Transform domain representation of signals and systems
The discrete time Fourier transform, the frequency response, the transfer function, Discrete Fourier series, Discrete Fourier transform, Computation of DFT Linear convolution using DFT, The z-transform, The region of convergence of z-transform
UNIT -IV: Structures for discrete time systems
Block diagram and signal flow representation of constant coefficient linear difference equation, Basic structures for IIR systems, Basic structures for FIR systems, Lattice structures, Effects of coefficient quantization, Effect of round off noise in digital filters, Zero-input limit cycles
UNIT -V: Filter design techniques
Design of discrete time IIR filters from continuous time filters, Design of FIR filters by windowing, Optimum approximation of FIR filters, Linear phase filters
UNIT -VI: Sampling of continuous time signals
Periodic sampling, Frequency domain representation of sampling, Reconstruction of bandlimited signal from its samples, Discrete time processing of continuous time signals, Continuous time processing of discrete time signals, Changing the sampling rate using discrete time processing

To help the students to understand the basic concepts of signals and signal processing and its applications to various fields.

On successful completion of this course, the student will be able to:
1. formulate engineering problems in terms of DSP tasks
2. apply engineering problem solving strategies to DSP problems
3. design and test DSP algorithms
4. analyze digital and analog signals and systems
5. recover information from signals
6. encode information into signals
7. design digital signal processing algorithms
8. design and simulate digital filters

S.K. Mitra, Digital Signal Processing: A Computer-Based Approach, McGraw-Hill , 3rd Edition, August 2006

J. G. Proakis and D. G. Manolkis, Digital Signal Processing: Principles, Algorithms and Applications, Prentice Hall of India , 3rd Edition, 1996, reprint 2005

Alan V. Oppenheim & Ronald W. Schafer, Discrete-Time Signal Processing, Prentice Hall of India , 2nd Edition, 1999

S. W. Smith, Digital Signal Processing,A Practical Guide for Engineers and Scientists, Newness – Elsevier Science , 1st edition, 2002