Content :
- Different operation on signal
- Classification of signal
- 1. Continuous signal
- 2. Discrete signal
- 3. Analog and digital signal
- 4. Even and odd signal
- 5. Periodic and non-periodic signal
- Conjugate symmetric signal
- Conjugate anti-symmetric signal
- 6. Half wave symmetry signal
- 7. Energy signal
- 8. Power signal
- 9. Periodic power signal
- 10. Orthogonal signal
- Important trignometrical results
- Basic signal
- 1. Unit impulse
- a. Area under impulse
- b. Weight\ strength of impulse
- c. Time scaling property of impulse
- 2. Unit step
- 3. Unit-ramp
- 4. Parabolic
- 5. Signal function
- 6. Symmetrical square wave
- 7. Angular symmetrical wave
- 8. Saw tooth wave
- 9. Sampling signal
- 10. Sinc signal
- Mathematical expression of waveform
- Basic system properties
- 1. Static\dynamic system
- 2. Causal\non-causal system
- 3. Linear \non-linear system
- 4. Time-variant\time-invariant system
- 5. Stable and unstable system
- 6. Linear time-invariant(LTI) system
- Transfer function
- Convolution
- Condition for LTI system to be static
- BIBO criteria
- Different equation for LTI system
- Fourier series
- Types
- 1. Trignometrical fourier series expansion
- 2. Exponential fourier expansion
- Symmetricities in fs
- 1. Even symmetricity
- 2. Odd symmetricity
- 3. Half wave symmetry
- 4. Even + HWS
- 5. Odd + HWS
- 6. Hidden symmetricity
- Properties
- 1. Linearity
- 2. Time reversal
- 3. Conjugation
- 4. Time shifting
- 5. Frequency shifting
- 6. Convolution in time
- 7. Multiplication in time
- 8. Differentiation in time
- 9. Integration in time
- 10. Parseval’s power theorem
- Fourier transform
- Dirichlet condition
- Property of duality
- Fourier transform for periodic signal
- Laplace transform
- Region of convergence (ROC)
- Properties of ROC
- Sampling theorem
- Low pass filter
- Sampling theorem
- Nyquist-interval
- Over-sampling
- Under sampling
- Discrete time system
- Z-transform
- Condition for existence of z-transform
- Properties
- Initial value theorem
- Final value theorem
- DTFT
- Inverse DTFT