Chapter 1 : Introduction
- What is a digital signal processing
- What is an analogue signal
- What is Digital Signal
- What is Infrared Signal
- What is Analog Signal Processing
- Application of DSP
- Comparison between a digital and analogue signal processing
- Full form of technical terms related to DSP
- Digital signal processing based project
- Advantages and Disadvantages of DSP
Chapter 2 : Discrete-Time Signals and Systems
- What is the signal
- Basic signal
- Basic signal operations
- Symmetrical and Anti symmetrical signal
- Properties of Even and Odd signals
- Power of energy signal
- The energy of power signal
- What is the system
- What is an LTI system
- Properties of LTI systems
- Example of a linear and non-linear system
- Property of linear convolution
- Linear convolution in DSP
- Advantages and disadvantages of digital over analogue signal processing
Chapter 3 : Digital Filter
- Digital filter basics
- Digital filter types
- Filter design techniques
- Advantages and disadvantages of digital filter
- Digital filter algorithm
- Digital filter applications
- FIR filter basics
- Block diagram of FIR filter
- FIR filter characteristics
- Butterworth low pass filters design
- Advantages and disadvantages of FIR filters
- IIR filter basics
- IIR filter properties
- IIR filter application
- Advantages and disadvantages of the bi-linear transformation method
- IIR filter examples
- Impulse invariant method example
- Advantages and disadvantages of IIR filter
Chapter 4 : Z Transform
- What is the Z transform
- Application of z transform
- Advantages and disadvantages of Z transform
- Z transform ROC
- Z Transform example
- Properties of Z transform
- Time-shifting in Z transform
- Z transform convolution
- Z transform stability
- Inverse Z transform
- Z transform partial fraction expansion
- Inverse z transform partial fraction expansion examples
- Inverse Z transform using long division method
Chapter 5 : Discrete Fourier Transform
- What is DFT
- Application of DFT
- DFT example
- Properties of DFT
- Relationship between DFT and Z transform
Chapter 6 : Frequency domain representation of DT signals and systems: