CSVTU BE VI Semester Electrical Engineering Digital Signal Processing Syllabus
CSVTU BE VI Semester Digital Signal Processing Syllabus
Chhattisgarh Swami Vivekanand Technical University, Bhilai
Semester: 6th Branch: EE & EEE
Subject: Digital Signal Processing
Total Theory Periods: 40 Total Tut Periods: Nil
Total Marks in End Semester Exam: 80
Minimum number of Class tests to be conducted: 2
Unit-I: Classification of signals and systems:
Introduction, Classification of signals, singularity Functions, Amplitude and Phase Classification of
systems, simple Manipulation of discrete- time signals, Representation of Systems, Analog- to-Digital
Conversion of signals.
Unit-II: Linear Time Invariant systems:
Introduction, Properties of DPS systems, Difference equation and its Relationship with system function,
Impulse Response and Frequency Response, Frequency Response.
Unit-III: Discrete and Fast Fourier Transforms:
Introduction, Discrete Convolution, Discrete- Time Fourier Transform (DTFT), Fast Fourier Transform
(FFT), Computing of inverse DFT by Direct DFT, Composite- radix FFT, Fast (Sectioned), Convolution,
Unit-IV: Infinite Impulse Response (IIR) Filters:
Introduction, IIR Filters Design by Approximation of derivatives, IIR Filter Design by Impulse invariant
Method, IIR Filter Design by the Bilinear Transformation, Butter worth Filters Chebyshev Filters, Inverse
Chebyshev Filters, Elliptic Filters, Frequency Transformation.
Unit-V: Realization of Digital Linear systems:
Introduction, Basic Realization Block Diagram, Signal-flow Graph, Basic structure for HR systems, Basic
Structure for FIR Systems. Application of Digital signal Processing, Introduction, Voice Processing,
Application to Radar, Application to Image processing, Introduction to Wavelets.
1. Digital Signal Processing – S.Salivahanan, A. Vallavraj, C. Gnanapriya TMH
2. Digital Signal Processing principles, algorithms and applications, Proakis, Pearson Education.
3. Signal and systems, Oppenheim, PHI
1. Digital Signal Processing – A.V. Oppenheim, Schaffer, PHI
2. Digital Signal Processing, Johny, Johnson, PHI.