Syllabus

Course Code: MMVD 104    Course Name: Digital Signal Processing

MODULE NO / UNIT COURSE SYLLABUS CONTENTS OF MODULE NOTES
1 Characterization and Classification of signals, typical signal processing operation. Examples of typical signals, Typical signal Processing Applications, Need of Digital Signal Processing.
2 Time Domain Representation of Signals and System- Discrete time signals, Operation on sequences, Discrete time systems, Time domain characterization of LTI Discrete- time systems, State-space Representation of LTI Discrete Time Systems.
3 The Discrete-Time Fourier Transform, Discrete Fourier Transform, Discrete Fourier Transform Properties, The z-transform, The inverse z-transform, Properties of z transform, Transform Domain Representations of LTI Systems- The frequency Response, transfer function.
4 Digital Filter Structure- Block diagram Representation, signal-flow-graph representation, equivalent structures, Basic FIR Digital Filter Structures, Basic IIR Filter structures. Digital Filter Design- Low Pass IIR Digital Filter Design Examples
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