Other university, Electronics and Communication engineering , Digital Signal Processing Syllabus

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Unit - 1 DSP Preliminaries

Unit 1

DSP Preliminaries

1.1 Sampling theorem in time domain

1.2 Recovery of analog signals analytical treatment with examples

1.3 Mapping between analog frequencies to digital frequency

1.4 Concept of Interpolation and decimation in signal processing

1.5 Representation of signals as vectors Concept of Basis function and orthogonality

1.6 Basic elements of DSP and its requirements

1.7 Advantages of Digital over Analog signal processing

1.8 Introduction to DSP processor TMS 320 XX 6713

Unit - 2 Z-Transform

Unit 2

Z transform

2.1 Need for transform

2.2 Relation between Laplace transform and Z transform

2.3 Relation between Fourier transform and Z transform

2.4 Properties of ROC

2.5 Concept of ROC

2.6 Properties of Z transform

2.7 Relation between pole locations and time domain behavior

2.8 Causality and stability considerations for LTI systems

2.9 Solution of difference equations using Z transform

Unit - 3 Transforms (DFT-FFT)

Unit 3

Transforms DFTFFT

3.1 Frequency domain sampling

3.2 DFT

3.3 Properties of DFT

3.4 Circular convolution

3.5 Computation of linear convolution using circular convolution

3.6 FFT

3.7 Decimation in time and decimation in frequency using Radix2 FFT algorithm for 4 point and 8 point sequences

3.8 DFT FFT computation complexity for 4 point and 8 point Sequences

3.9 Linear filtering using overlap add and overlap save method

Unit - 4 IIR Filter Design

Unit 4

IIR Filter Design

4.1 Concept of analog filter design

4.2 IIR filter design by approximation of backward derivatives

4.3 IIR filter design by impulse invariance method

4.4 Bilinear transformation method warping effect

4.5 Butterworth filter design

4.6 Characteristics of Butterworth filters

4.7 Chebyshev filters

4.8 IIR filter realization using direct form

4.9 Cascade form and parallel form

4.10 Finite word length effect in IIR filter design

Unit - 5 FIR Filter Design

Unit 5

FIR Filter Design

5.1 Windowing techniques

5.2 Gibbs phenomenon

5.3 Characteristics and comparison of different window functions

5.4 Linear phase conditions impulse and phase and group delays

5.5 Design of linear phase FIR filter using windows Rect Hanning Hamming Blackmann Kaiser

5.6 Magnitude and Phase response of Digital filters

5.7 Frequency response of Linear phase FIR filters

5.8 FIR filters realization using direct form cascade form and linear phase structure

Unit - 6 Introduction To 1D & 2D Signal Processing

Unit 6

Introduction to 1D 2D Signal Processing

6.1 Dimensionality of signals

6.2 Introduction of 1D signals

6.3 Speech Basics of speech signal and its features

6.4 LTI representation of speech signal

6.5 Estimation of fundamental frequency

6.6 Identification of voiced and unvoiced speech and noise removal

6.7 Biomedical Signal Basics of ECG and its features

6.8 Spectral Analysis using FFT

6.9 Artifacts suppression

6.10 Algorithms for R peak detection

6.11 Fundamentals of image processing Representation of digital image

6.12 Spatial and Temporal resolution

6.13 2D convolution for feature extraction

Download ECE Third Year syllabus pdf
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Other Subjects of third-year
Cellular networks
Integrated circuits
Digital communication
Linear control systems
Power devices & circuits
Computer networks and security
Microprocessors & microcontrollers
Electronics instruments and measurement
Probability theory and stochastic processes
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