Introduction to communication theory. Review of Fourier series and Fourier transform as a mathematical tool for spectral analysis. Concept of power and energy spectral densities and correlation between waveforms. Transmission through linear filters and channels. Hilbert transform and Amplitude Modulation techniques.
Bachelor Degree in Computer Engineering
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| content serial | Description |
|---|---|
| 1 | Classification of Signals - sum of periodic signals |
| 2 | Orthogonality - Fourier Analysis of Periodic Signals |
| 3 | Fourier Transform and Properties of F.T. |
| 4 | Properties of F.T. (cont.) |
| 5 | F.T. of Special Functions |
| 6 | Fourier Transform of periodic signals - Digital & analog signals |
| 7 | Discrete Fourier transform - Sampling Theory + 7th week exam |
| 8 | Auto-correlation & cross-correlation of power and energy signals - Spectral densities of power and energy signals |
| 9 | Hilbert transform |
| 10 | Response of low-pass and band-pass filters |
| 11 | Double side band transmitted carrier amplitude modulation and demodulation |
| 12 | DSB Surprised carrier amplitude modulation and demodulation + 12 week exam |
| 13 | Single side band amplitude modulation |
| 14 | Single side band amplitude demodulation |
| 15 | Vestigial side band amplitude modulation and demodulation |
| 16 | Final Examination |
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