Digital Signal Processing Tuition
Join The Best Digital Signal Processing Tuition Class. Academy Of Engineers Provides Best Tutorial Services For National And Foreign University. Digital Signal Processing Tuition Classes Are Available In Online As Well As Offline Mode. We Cover Syllabus Of All University. Digital Signal Processing Tuition Is The Core Subject Taught To The Students Of Electronic Engineering, Electrical Engineering And Computer Science Engineering. Contact Us For The Best Online Digital Signal Processing Tutor.
Course Outcomes: At the end of this course students will demonstrate the ability to:
1. Design and describe different types of realizations of digital systems (IIR and FIR) and their
2. 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.
3. Design FIR filter using various types of window functions.
4. 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.
5. Define the concept of decimation and interpolation. Also, they will be able to implement it in various practical applications.
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Digital Signal Processing Syllabus
- 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.
- 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.
- 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
- DFT & FFT: Definitions, Properties of the DFT, Circular Convolution, Linear
Convolution using Circular Convolution, Decimation in Time (DIT) Algorithm,
Decimation in Frequency (DIF) Algorithm.
- 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
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