Table Of Contents
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,
- Quadrature mirror filters, Advantages of MDSP.
- Adaptive Filter: Introduction & Example of adaptive Filter,
- The window LMS Algorithm,
- Recursive Least Square Algorithm.
- The Forward Backward Lattice & Gradient Adaptive Lattic Method.
- Digital Signal Processors: Introduction, Architecture, Features,
- Addressing Formats,
- Functional modes.
- Introduction to Commercial Digital Signal Processors.
Important Question with solutions | AKTU Quantums | Syllabus | Short Questions
Digital Signal Processing Btech Quantum PDF, Syllabus, Important Questions
Label | Link |
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Subject Syllabus | Syllabus |
Short Questions | Short-question |
Question paper – 2021-22 | 2021-22 |
Digital Signal Processing Quantum PDF | AKTU Quantum PDF:
Quantum Series | Links |
Quantum -2022-23 | 2022-23 |
AKTU Important Links | Btech Syllabus
Link Name | Links |
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Btech AKTU Circulars | Links |
Btech AKTU Syllabus | Links |
Btech AKTU Student Dashboard | Student Dashboard |
AKTU RESULT (One View) | Student Result |
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