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AKTU Digital Signal Processing (BEC503) Syllabus PDF – B.Tech 3rd Year
Digital Signal Processing BEC503
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Official AKTU syllabus of Digital Signal Processing (BEC503) for B.Tech 3rd Year – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Digital Signal Processing
Download PDFBEC503 · 4 credits · L-T-P 3-1-0
| Unit | Topics | Lectures |
|---|---|---|
| I | Introduction to Digital Signal Processing: Basic elements of digital signal processing, advantages and disadvantages of digital signal processing, Technology used for DSP. Realization of Digital Systems: Introduction- basic building blocks to represent a digital system, recursive and non-recursive systems, basic structures of a digital system: Canonic and Non-Canonic structures. IIR Filter Realization: Direct form, cascade realization, parallel form realization, Ladder structures- continued fraction expansion of H (z), example of continued fraction, realization of a ladder structure, design examples. FIR Filter Realization: Direct, Cascade, FIR Linear Phase Realization and design examples. | 8 |
| II | Infinite Impulse Response Digital (IIR) Filter Design: Introduction to Filters, Impulse Invariant Transformation, Bi-Linear Transformation, All- Pole Analog Filters: Butterworth and Chebyshev, Design of Digital Butterworth and Chebyshev Filters, Frequency Transformations. | 8 |
| III | Finite Impulse Response Filter (FIR) Design: Windowing and the Rectangular Window, Gibb’s phenomenon, Other Commonly Used Windows (Hamming, Hanning, Bartlett, Blackmann, Kaiser), Examples of Filter Designs Using Windows. Finite Word length effects in digital filters: Coefficient quantization error, Quantization noise – truncation and rounding, Limit cycle oscillations-dead band effects. | 8 |
| IV | DFT & FFT: Definitions, Properties of the DFT, Circular Convolution, Linear Convolution using Circular Convolution, Decimation in Time (DIT) Algorithm, Decimation in Frequency (DIF) Algorithm. | 8 |
| V | Multirate Digital Signal Processing (MDSP): Introduction, Decimation, Interpolation, Sampling rate conversion: Single and Multistage, applications of MDSP- Sub-band Coding of Speech signals, Quadrature mirror filters, Advantages of MDSP. | 8 |
Text Books
- John G Prokias, Dimitris G Manolakis, Digital Signal Processing. Pearson, 4th Edition, 2007
- Johnny R. Johnson, Digital Signal Processing, PHI Learning Pvt Ltd., 2009.
- S. Salivahanan, A. Vallavaraj, Digital Signal Processing, TMH, 4th Edition 2017.
Reference Books
- Oppenheim & Schafer, Digital Signal Processing. Pearson Education 2015
- S.K. Mitra, ‘Digital Signal Processing–A Computer Based Approach, TMH, 4th Edition.
- Digital Signal Processing-a computer-based approach by S. K. Mitra, McGraw Hill.
- Digital Signal Processing by A. Anand kumar, PHI learning PVT. ltd.
- Digital Signal Processing - a modern introduction by Ashok Ambardar, Cengage learning.
Course Outcomes
- Design and describe different types of realizations of digital systems (IIR and FIR) and their utilities.
- Select design parameters of analog IIR digital filters (Butterworth and Chebyshev filters) and implement various methods such as impulse invariant transformation and bilinear transformation of conversion of analog to digital filters.
- Design FIR filter using various types of window functions.
- Define the principle of discrete Fourier transform & its various properties and concept of circular and linear convolution. Also, students will be able to define and implement FFT i.e. a fast computation method of DFT.
- Define the concept of decimation and interpolation. Also, they will be able to implement it in various practical applications.
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