| 1 |
1 Representation of bandpass signals and systems, complex envelope concept,
baseband equivalent signals and systems.
2 Representation of bandpass random signals, their spectral properties.
3 Signal-space concept: Vectorial channels. Gram-Schmidt orthonormalization
method.
II
4 Recovery of signal vectors, correlator and matched filter receivers
5 Error probability calculations for digital signals in Gaussian channels.
6 Error probability calculations for digital signals in Gaussian channels.
7 Union bound for the error probability, examples.
8 Efficient signaling for message sequences.
9 Time – bandwidth and dimension relationship, efficient signal selection.
10 Signaling with binary and multilevel sequences.
11 Channel coding theorem for additive white Gaussian noise channels
12 Bandwidth efficient coding techniques in signal space.
13 Coding in band limited channels: Coded modulation technique.
14 Trellis code design criteria, performance analyses. |