Principles of Digital Signal Processing [ECE Department]

Principles of Digital Signal Processing [ECE Department]

Principles of Digital Signal Processing

DISCRETE FOURIER TRANSFORM

IIR FILTER DESIGN

1. IIR Filter Design
2. Difference Between Analog Filter and Digital Filter
3. Filter Types and Ideal Filter Characteristic
4. Difference Between FIR Filter and IIR Filter
5. Structures For FIR Systems
6. Structures For IIR Systems
7. Conversion of Analog Filter into Digital Filter
8. IIR Filter Design - Bilinear Transformation Method (BZT)
9. Method For Designing Digital Filters Using BZT
10. Butterworth Filter Approximation
11. Frequency Response Characteristic
12. Frequency Transformation
13. Important Short Questions and Answers: IIR Filter Design

FIR FILTER DESIGN

1. Features of FIR Filter
2. Symmetric and Anti-symmetric FIR filters
3. Gibbs Phenomenon
4. Designing Filter From Pole Zero Placement
5. Notch and Comb Filters
6. Digital Resonator
7. Roundoff Noise
8. Roundoff Noise in FIR Filters
9. Limit Cycle Oscillations
10. Overflow Oscillations
11. Realization Considerations
12. Important Short Questions and Answers: FIR Filter Design

FINITE WORDLENGTH EFFECTS

DSP APPLICATIONS

SIGNALS AND SYSTEMS

1. Signals and System - Introduction
2. Classification of Signal Processing
3. Advantages and Disadvantages of DSP(Digital) Over ASP(Analog signal Processing)
4. Classification of Signals
5. Discrete Time Signals and System
6. Basic Block Diagram of A/D Converter
7. Z Tranform - Analysis of LTI System
8. Properties of Z Transform (ZT)
9. Relationship Between Fourier Transform and Z Transform
10. Inverse Z Transform (IZT)
11. Linear Convolution Sum Method
12. Properties of Linear Convolution
13. Correlation: Types, Properties
14. Difference Between Linear Convolution and Correlation
15. Important Short Questions and Answers: Signals and System

FREQUENCY TRANSFORMATIONS

1. Frequency Transformations
2. Properties of Discrete Fourier Transform(DFT)
3. Application of Discrete Fourier Transform(DFT)
4. Fast Fourier Algorithm (FFT)
5. Radix-2 FFT Algorithms
6. Computational Complexity FFT V/S Direct Computation
7. Bit Reversal
8. Decimation In Frequency (DIFFFT)
9. Goertzel Algorithm
10. Important Short Questions and Answers: Frequency Transformations

IIR FILTER DESIGN

1. IIR Filter Design
2. Difference Between Analog Filter and Digital Filter
3. Filter Types and Ideal Filter Characteristic
4. Difference Between FIR Filter and IIR Filter
5. Structures For FIR Systems
6. Structures For IIR Systems
7. Conversion of Analog Filter into Digital Filter
8. IIR Filter Design - Bilinear Transformation Method (BZT)
9. Method For Designing Digital Filters Using BZT
10. Butterworth Filter Approximation
11. Frequency Response Characteristic
12. Frequency Transformation
13. Important Short Questions and Answers: IIR Filter Design

FIR FILTER DESIGN

1. Features of FIR Filter
2. Symmetric and Anti-symmetric FIR filters
3. Gibbs Phenomenon
4. Designing Filter From Pole Zero Placement
5. Notch and Comb Filters
6. Digital Resonator
7. Roundoff Noise
8. Roundoff Noise in FIR Filters
9. Limit Cycle Oscillations
10. Overflow Oscillations
11. Realization Considerations
12. Important Short Questions and Answers: FIR Filter Design

FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS

1. Speech Recognition
2. Linear Prediction of Speech Synthesis
3. Sound Processing
4. Echo Cancellation
5. Vibration Analysis
6. Multistage Implementation of Digital Filters
7. Speech signal processing
8. Subband Coding
9. Adaptive Filter
10. Audio Processing
11. Image Enhancement: Spatial domain methods
12. Important Short Questions and Answers: Applications of DSP