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Discrete time signals and systems, Properties of LTI Systems, DTFT, Z-T/F; Minimum phase-All pass decomposition, Generalized linear phase; DFS, Frequency sampling and Time aliasing, DFT, Periodic & Circular convolutions; FFT computations using DIT and DIF algorithms; Infinite Impulse Response Digital Filter design: Impulse invariant and Bilinear transformation approaches, Finite Impulse Response Digital filter design: Windowing and Optimal Equiv.-ripple filter design; Filter structures and realization: Signal flow graph representation, Direct form I & II, Cascade and Parallel forms, Finite Word length effect; Introduction to Multirate Signal Processing: Fractional sampling rate conversion, Poly-phase decomposition; Importance of Short-time Fourier transform; Introduction to programmable DSPs ‐ Architecture of TMS 320C5X.

Semester
Subject Code
AV311
Programme type
Text Books

Alan V Oppenheim, Ronald W Schafer, John R Back, Discrete Time Signal Processing, PHI, 2nd Edition 2000

2. John G Proakis, Dimtris G Manolakis, Digital Signal Processing Principles, Algorithms and Application, PHI, 3rd Edition, 2000.

3. B.Venkataramani & M. Bhaskar, Digital Signal Processor Architecture, Programming and Application, TMH 2002

References

1. Avtar Singh, S.Srinivasan, DSP Implementation using DSP microprocessor with Examples from TMS32C54XX, Thamson / Brooks cole Publishers, 2003

2. S.Salivahanan, A.Vallavaraj, Gnanapriya, Digital Signal Processing, McGraw‐Hill / TMH, 2000.

3. Johny R.Johnson, Introduction to Digital Signal Processing, Prentice Hall, 1984.

4. S.K.Mitra, Digital Signal Processing‐ A Computer based approach, Tata McGraw‐Hill,1998, New Delhi.

Course Outcomes (COs):
CO1: Analyze the discrete time systems and signals in transform domain

CO2: Design and realize the filter with minimum hardware resources

CO3: Apply the adaptive algorithm to vary the coefficient of the filter in variable environment

CO4: Implement the discrete time system with different sampling rate

CO5: Apply the signal processing technique or concepts in the various fields like biomedical, communication, control, machine learning etc.