PEI101
DIGITAL SIGNAL PROCESSING TECHNIQUES |
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L |
T |
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Cr |
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3 |
1 |
0 |
3.5 |
Prerequisite(s): None |
Discrete Time Signals and Systems: Introduction, Discrete time signals as array of
values, Standard discrete time signals, Classification of discrete time
signals, Discrete time systems and their classifications, Linear Time Invariant
(LTI) Systems, Difference Equations: Finite Impulse Response (FIR) systems,
Infinite Impulse Response (IIR) systems, Non-recursive Systems and Recursive Systems and
representation of discrete time systems via difference equations, Correlation:
Cross-correlation and Auto-correlation and their properties, Analog to Digital
(A/D) Conversion: Sampling, Frequency Relationships, Aliasing, Quantization,
Encoding, Sampling Theorem and Anti Aliasing Filter.
The z-Transforms: Introduction, z-transform, Properties of z-transform, Inverse z-transform, System function and Pole-zero plots from z-transform, Causality and Stability in terms of z-transform, Bilateral z-transform, Computation of z-transform
Discrete Fourier Transform (DFT) and
Fast Fourier Transform (FFT): Discrete
Fourier Transform and its Properties, Efficient Computation of DFT using FFT
algorithms: Direct computation of the DFT, Divide and Conquer Approach, Radix-2 and Radix-4 FFT algorithms, Linear Filtering Approach to
Computation of DFT.
Digital Filter Structure: Describing Equation of digital filter, Structures for
FIR Systems: Direct Form Structure, Cascade Form Structure, Frequency Sampling
Structure and Lattice Structure, Structure for IIR Systems: Direct Form Structures
(Form-I and Form-II), Cascade Form Structure, Parallel Form Structure
and Lattice Structure, Representation of Structures using Signal Flow Graph.
Design of Digital Filters: Characteristics of Practical Frequency Selective
Filters, Design of FIR Filters using Windows: Rectangular, Bartlett, Hanning, Hamming and Blackman, Design of IIR Filters from
Analog Filters, Frequency Transformations.
Multirate Digital
Signal Processing: Introduction,
Decimation by factor D, multistage implementation of sampling rate conversion,
sampling rate conversion of bandpass filters.
Optimum Filters: Introduction, Forward and backward predictions, AR
lattice and ARMA lattice ladder filters, Wiener filters for filtering and
prediction.
Case Studies : Case studies on Temporal and
spatial signal processing.
Recommended Books