# Digital Signal Processing (KEC-503) Aktu Syllabus Pdf

Learn about the Digital Signal Processing course for the AKTU B.Tech programme. In this fascinating area of study, gain a thorough understanding of signal analysis, filtering, and processing methods.

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## UNIT-1: INTRODUCTION TO DSP

• 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.
• IR Flter Realization: Direct form, cascade realization, parallel form realization,
• Ladder structures -continued fraction expansion of H (2), example of Continued fraction, realization of a ladder structure, design examples.
• FIR Filter Realization: Direct, Cascade,
• FIR Linear Phase Realization and design examples.

## UNIT-2: IIR FILTER DESIGN

• Introduction to Filters,
• Impulse Invariant Transformation,
• Bi-Linear Transformation,
• All Pole Analog Filters: Butterworth and Chebyshev,
• Design of Digital Butterworth & Chebyshev Filters,
• Frequency Transformations.

## UNIT-3: FIR FILTER DESIGN

• 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 flters: Coefficient quantization error,
• Quantization noise – truncation and rounding,
• Limit cycle oscillations-dead band effects.

## UNIT-4: DFT & FFT

• Discrete Fourier Transform: Concept and relations for DFT/IDFT,
• Twiddle factors & their properties,
• Computational burden on direct DFT, DFT/ DFT as linear transformations,
• DFT/IDFT matrices,
• Computation of DFT/ IDFT by matrix method, multiplication of DFTs,
• Circular convolution,
• Computation of circular convolution by graphical, DFT/DFT & matrix methods,
• Linear filtering using DFT, aliasing error,
• Filtering of long data sequences – Overlap-Save and Overlap-Add methods with examples.
• Fast Fourier Transform: Radix-2 algorithm,
• Decimation-in-time,
• Decimation in-frequency algorithms,
• Signal flow graphs,
• Butterflies, computations in one place, bit reversal,
• Examples for DIT & DIF FFT Butterfly computations with examples.

## UNIT-5: MULTIRATE DIGITAL SIGNAL PROCESSING

• Multirate Digital Signal Processing (MDSP): Introduction,
• Decimation,
• Interpolation,
• Sampling rate conversion: Single and Multistage,
• Applications of MDSP- Subband Coding of Speech signals,
• The window LMS Algorithm,
• Recursive Least Square Algorithm.
• Digital Signal Processors: Introduction, Architecture, Features,