Principles of Digital Signal Processing

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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

FIR FILTER DESIGN


👉 Features of FIR Filter
👉 Symmetric and Anti-symmetric FIR filters
👉 Gibbs Phenomenon
👉 Designing Filter From Pole Zero Placement
👉 Digital Resonator
👉 Limit Cycle Oscillations
👉 Overflow Oscillations
👉 Realization Considerations


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


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
👉 Goertzel Algorithm

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

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