- Degree Bachelor
- Code: EC321
- Credit hrs: 3
- Prequisites: BA224, EE231
Introduction to communication theory. Fourier transform as a mathematical tool for spectral rnanalysis. Sampling Theory, Convolution of continuous and discrete signals, Correlation, Concept of power and energy spectral densities and correlation between waveforms. Transmission through linear filters and channels. Hilbert transform and Positive pre-envelope and complex envelope. Response of LPF and BPF to signals.
B.Sc. Electronics and communication Engineering
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content serial | Description |
---|---|
1 | Introduction and types of signals and systems. |
2 | Introduction to Fourier Transform. |
3 | Properties of Fourier Transform . |
4 | Time and frequency convolution. |
5 | F.T. of Special Functions |
6 | Fourier Transform of periodic signals - Digital & analog signals |
7 | Sampling Theory, discrete time signals. |
8 | Convolution of discrete time signals and DFT. |
9 | Spectral density and Correlation (Auto, Cross) of power and energy signals. |
10 | Hilbert transform / Complex and natural envelope. |
11 | System Impulse response and transfer - System Characteristics: rnLinearity, Time Invariance, Stability, and Causality for continuous and discrete systems. |
12 | Conditions for distortion-less transmission through stable system . |
13 | Impulse response of discrete-time system and discrete convolution – discrete correlation-Auto-correlation & Cross-correlation of discrete signals. |
14 | Ideal LPF filters in time and frequency domains. |
15 | Ideal BPF filters in time and frequency domains. |
16 | Final Examination |
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