Module 1
Random Signal Theory: Review of discrete and continuous random variables-Gaussian probability function- properties- error function- complementary error function. Base band data transmission: – Base band binary data transmission system- Inter symbol interference- Nyquist pulse shaping criteria- Optimum transmitting- Receiving filters.
Random Signal Theory: Review of discrete and continuous random variables-Gaussian probability function- properties- error function- complementary error function. Base band data transmission: – Base band binary data transmission system- Inter symbol interference- Nyquist pulse shaping criteria- Optimum transmitting- Receiving filters.
Module 2
Correlative coding: -Duobinary Base band PAM system- Use of controlled ISI- M-ary signaling scheme (no analysis)- Binary versus M-ary signaling schemes- pre coding- Bipolar coding- Manchester coding- HDB coding- Equalization- Adaptive equalization- Eye pattern- Scrambler- Unscrambler.
Correlative coding: -Duobinary Base band PAM system- Use of controlled ISI- M-ary signaling scheme (no analysis)- Binary versus M-ary signaling schemes- pre coding- Bipolar coding- Manchester coding- HDB coding- Equalization- Adaptive equalization- Eye pattern- Scrambler- Unscrambler.
Module 3
Digital transmission: – BPSK- DPSK- M-ary PSK- QPSK- BFSK- M-ary FSK- MSK- comparison.
Digital transmission: – BPSK- DPSK- M-ary PSK- QPSK- BFSK- M-ary FSK- MSK- comparison.
Module 4
Digital transmission of Analog signals: – Sampling – Quantizing uniform non-uniform quantization -Companding- A law ยต law PCM system- DPCM delta modulation system- slope over loading- ADM- CVSD- Quantization noise.
Digital transmission of Analog signals: – Sampling – Quantizing uniform non-uniform quantization -Companding- A law ยต law PCM system- DPCM delta modulation system- slope over loading- ADM- CVSD- Quantization noise.
Module 5
Noise in communication system: – Noise types- SNR- Probability of error- Effective Noise temperature- Noise figure- Detection of binary signals in Gaussian noise: -Maximum likelihood Receiver structure- Matched filter-Correlation realization of matched filter- optimizing error performance- error probability performance of binary transmission system.
Noise in communication system: – Noise types- SNR- Probability of error- Effective Noise temperature- Noise figure- Detection of binary signals in Gaussian noise: -Maximum likelihood Receiver structure- Matched filter-Correlation realization of matched filter- optimizing error performance- error probability performance of binary transmission system.
mgu university b.tech syllabus electronics
References
1. Digital Communications: Sklar,Pearson Education
2. Digital and Analog Communication System: K Sam Shanmugam.
3. Principles of Communication System: Taub & Shilling, TMH.
4. Digital Communication- Siman Haykin.
5. Communication Systems Engineering: Proakis, Pearson Education.
6. Digital & Analog Communication System- Leon W Couch, Pearson Education.
2. Digital and Analog Communication System: K Sam Shanmugam.
3. Principles of Communication System: Taub & Shilling, TMH.
4. Digital Communication- Siman Haykin.
5. Communication Systems Engineering: Proakis, Pearson Education.
6. Digital & Analog Communication System- Leon W Couch, Pearson Education.