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Electrical Electonics and Comunication Engineering EEE ECE

Principles of Digital Signal Processing - EC6502

Principles of Digital Signal Processing

DISCRETE FOURIER TRANSFORM

IIR FILTER DESIGN


-:- IIR Filter Design
-:- Difference Between Analog Filter and Digital Filter
-:- Filter Types and Ideal Filter Characteristic
-:- Difference Between FIR Filter and IIR Filter
-:- Structures For FIR Systems
-:- Structures For IIR Systems
-:- Conversion of Analog Filter into Digital Filter
-:- IIR Filter Design - Bilinear Transformation Method (BZT)
-:- Method For Designing Digital Filters Using BZT
-:- Butterworth Filter Approximation
-:- Frequency Response Characteristic
-:- Frequency Transformation
-:- Important Short Questions and Answers: IIR Filter Design

FIR FILTER DESIGN


-:- Features of FIR Filter
-:- Symmetric and Anti-symmetric FIR filters
-:- Gibbs Phenomenon
-:- Designing Filter From Pole Zero Placement
-:- Notch and Comb Filters
-:- Digital Resonator
-:- Roundoff Noise
-:- Roundoff Noise in FIR Filters
-:- Limit Cycle Oscillations
-:- Overflow Oscillations
-:- Realization Considerations
-:- Important Short Questions and Answers: FIR Filter Design

FINITE WORDLENGTH EFFECTS

DSP APPLICATIONS

SIGNALS AND SYSTEMS


-:- Signals and System - Introduction
-:- Classification of Signal Processing
-:- Advantages and Disadvantages of DSP(Digital) Over ASP(Analog signal Processing)
-:- Classification of Signals
-:- Discrete Time Signals and System
-:- Basic Block Diagram of A/D Converter
-:- Z Tranform - Analysis of LTI System
-:- Properties of Z Transform (ZT)
-:- Relationship Between Fourier Transform and Z Transform
-:- Inverse Z Transform (IZT)
-:- Linear Convolution Sum Method
-:- Properties of Linear Convolution
-:- Correlation: Types, Properties
-:- Difference Between Linear Convolution and Correlation
-:- Important Short Questions and Answers: Signals and System

FREQUENCY TRANSFORMATIONS


-:- Frequency Transformations
-:- Properties of Discrete Fourier Transform(DFT)
-:- Application of Discrete Fourier Transform(DFT)
-:- Fast Fourier Algorithm (FFT)
-:- Radix-2 FFT Algorithms
-:- Computational Complexity FFT V/S Direct Computation
-:- Bit Reversal
-:- Decimation In Frequency (DIFFFT)
-:- Goertzel Algorithm
-:- Important Short Questions and Answers: Frequency Transformations

IIR FILTER DESIGN


-:- IIR Filter Design
-:- Difference Between Analog Filter and Digital Filter
-:- Filter Types and Ideal Filter Characteristic
-:- Difference Between FIR Filter and IIR Filter
-:- Structures For FIR Systems
-:- Structures For IIR Systems
-:- Conversion of Analog Filter into Digital Filter
-:- IIR Filter Design - Bilinear Transformation Method (BZT)
-:- Method For Designing Digital Filters Using BZT
-:- Butterworth Filter Approximation
-:- Frequency Response Characteristic
-:- Frequency Transformation
-:- Important Short Questions and Answers: IIR Filter Design

FIR FILTER DESIGN


-:- Features of FIR Filter
-:- Symmetric and Anti-symmetric FIR filters
-:- Gibbs Phenomenon
-:- Designing Filter From Pole Zero Placement
-:- Notch and Comb Filters
-:- Digital Resonator
-:- Roundoff Noise
-:- Roundoff Noise in FIR Filters
-:- Limit Cycle Oscillations
-:- Overflow Oscillations
-:- Realization Considerations
-:- Important Short Questions and Answers: FIR Filter Design

FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS


-:- Speech Recognition
-:- Linear Prediction of Speech Synthesis
-:- Sound Processing
-:- Echo Cancellation
-:- Vibration Analysis
-:- Multistage Implementation of Digital Filters
-:- Speech signal processing
-:- Subband Coding
-:- Adaptive Filter
-:- Audio Processing
-:- Image Enhancement: Spatial domain methods
-:- Important Short Questions and Answers: Applications of DSP