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Digital Signal Processing (2171003)

Teaching Scheme (in Hours)

Theory Tutorial Practical Total
4 0 2 0

Subject Credit :  6

Examination Scheme (in marks)

Theory
ESE (E)
Theory
PA (M)
Practical
ESE Viva (V)
Practical
PA (I)
Total
70 30 30 20 150

Syllabus Content    Download

Unit-1:  Introduction:

Signals, systems and signal processing, classification of signals, elements of digital signal processing system, concept of frequency in continuous and discrete time signals, Periodic Sampling, Frequency domain representation of sampling, Reconstructions of band limited signals from its samples, general applications of DSP

Unit-2:  Discrete-Time Signals and Systems:

Discrete-Time Signals, Discrete-Time Systems, LTI Systems, Properties of LTI Systems, linear convolution and its properties, Linear Constant Coefficient Difference equations,. Frequency domain representation of Discrete-Time Signals & Systems, Representation of sequences by discrete time Fourier Transform, (DTFT), Properties of discrete time Fourier Transform, and correlation of signals, Fourier Transform Theorems.

Unit-3:  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.

Unit-4:  Structures for Discrete Time Systems:

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

Unit-5:  Filter Design Techniques:

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

Unit-6:  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.

Unit-7:  Fast Fourier Transform:

FFT-Efficient Computation of DFT, Goertzel Algorithm, radix2 and radix 4 Decimation-in-Time and Decimation-in-Frequency FFT Algorithms.

Unit-8:  Architecture of DSP Processors- :

Harward architecture, pipelining, Multiplier-accumulator (MAC) hardware, architectures of fixed and floating point (TMSC6000) DSP processors.

Reference Books

Sr. Title Author Publication Amazon Link
1 “Digital Signal Processing: Principles, Algorithm & Application” Proakis, Manolakis Pearson
2 “Discrete Time Signal Processing” Oppeheim, Schafer, Buck Pearson education publication
3 Digital Signal Processing fundamentals and applications Li Tan Elsevier
4 Fundamentals of digital Signal Processing Lonnie c.Ludeman Wiley
5 Digital Signal processing-A Practical Approach , Emmanuel Ifeacher, Barrie W.Jervis Pearson Education
6 Digital Signal Processing S.Salivahanan, A.Vallavaraj, C.Gnapriya TMH
7 Digital Signal Processors, Architecture, programming and application B. Venkatramani, M Bhaskar Mc-Graw Hill

Course Outcome

  • Discrete-Time Signals and Systems
  • The Z- Transform and Analysis Linear Time-of Invariant System
  • Structures for Discrete Time Systems:
  • Filter Design Techniques:
  • Discrete-Fourier Transform:
  • Fast Fourier Transform:
  • DSP Processors

 

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