Digital Signal Processing 3171003 Syllabus Download

Digital Signal Processing 3171003 Syllabus Download

Digital Signal Processing 3171003 is presented in the 7th semester of the EC department.

Sr. No.
Content
Total Weightage 
1

Discrete-Time Signals and Systems:

Discrete-Time Signals, Discrete-Time Systems, LTI Systems, linear convolution and itsproperties, Linear Constant Co- efficient Difference equations, Frequency domain
representation of Discrete-Time Signals & Systems, Representation of sequences by
discrete time Fourier Transform, (DTFT), correlation ofsignals

11
2

The Z- Transform and Analysis Linear Time-of Invariant System:

Z-Transform, Properties of ROC for Z-transform, the inverse Z-transform methods, Z-
transforms properties, Analysis of LTI systems in time domain and stability

considerations. Frequency response of LTI system, System functions for systems with
linear constant-coefficient Difference equations, Freq. response of rational system
functions relationship between magnitude & phase, All pass systems, inverse systems,
Minimum/Maximum phase systems, systems with linear phase.

15
3

Structures for Discrete Time Systems:

Block Diagram and signal flow diagram representations of Linear Constant- CoefficientDifference equations, Basic Structures of IIR Systems, Transposed forms, Direct and
cascade form Structures for FIR Systems, Effects of Co-efficient quantization.

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4

Filter Design Techniques:

Design of Discrete-Time IIR filters from Continuous-Time filters Approximation byderivatives, Impulse invariance and Bilinear Transformation methods; Design of FIR filters
by windowing techniques, Illustrative design examples of IIR and filters.

11
5

Discrete-Fourier Transform:

Representation of Periodic sequences: The discrete Fourier Series and its Properties Fourier
Transform of Periodic Signals, Sampling the Fourier Transform, The Discrete-Fourier
Transform, Properties of DFT, Linear Convolution using DFT.

11
6

Fast Fourier Transform:

FFT-Efficient Computation of DFT, Goertzel Algorithm, radix2 and radix
Decimation-in-Time and Decimation-in-Frequency FFT Algorithms.

11

 

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