Introduction to Digital Communications
1.1. Show the advantages and disadvantages of digital transmission versus analog
1.2. Give a very global vision of a generic digital communication system model.
1.3. Enter the characteristic parameters of a signal
1.4. Introduce white and Gaussian noise
Source Encoding
2.1. Digital format of analog information
2.2. DPCM encoding and Delta modulation
23. Discrete sources: information and entropy
2.4. Source encoding theorem
2.5. Source Compression: Huffman Codes
Modulation and Demodulation in Gaussian Channels
3.1. Description of the digital communication system model that will be used.
3.2. Encoder Study
3.3. Modulator study
3.4. Demodulator study
3.5. Optimal detector
3.6. Probability of error
Baseband Transmission
4.1. Line codes
4.2. Intersymbolic Interference
4.3. Nyquist criterion
4.4. Impulse response of the ideal filter
4.5. Raised cosine filter
4.6. Correlative coding
4.7. Channel equalization
Band Pass Transmission
5.1. amplitude modulation
5.2. Phase modulation
5.3. Quadrature Modulation
5.4. Frequency modulation
5.5. Power spectra and spectral efficiency
5.6. Demodulation: coherent and non-coherent
