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INTRODUCTION: Signals – continuous time and Discrete time
systems, Properties of systems. Linear time invariant systems –
continues time and discrete time. Properties of
LTI systems and their block diagrams.
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FREQUENCY DOMAIN REPRESENTATION OF SYSEMS : The continuous
time Fourier transform for periodic and a periodic signals. Properties of
CTFT. Discrete time Fourier transform for periodic and a periodic signals.
Properties of DTFT. The convolution and modulation property.
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SAMPLING: Sampling theorem. Aliasing Sampling in frequency
domain. Sampling of Discrete time signals.
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Z- TRANSFORM: Introduction. The region of convergence for
the Z-transform. The Inverse Z-transform. Two dimensional Z-transform.
Properties of Z-transforms.
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DISCRETE AND FAST FOURIER TRANSFORM: Introduction.
Properties of DFT & DFS. Linear convolution using the DFT. Decimation
in time & frequency FFT Algorithms.
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REPRESENTATION OF DIGITAL FILTERS: Introduction. Signal flow
graph representation of digital networks. Basic structure for IIR &
FIR systems.
Recommended
Books:
1
Salivahanan and Vallavaraj – Difital Signal Processing. Tata Mc
Graw Hill.
2
Nagrah – Signals and Systems. Tata
Mc Graw Hill.
3
Oppenheim A.V. Signals & system. PHI.
4
Oppenheim A. V. –
Digital Signal Processing . PHI
5
Lathi – Signals and Linear Systems. Oxford. |