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EC8501 Digital Communication (DC)
Unit 11.Source coding theorem –,Shannon ,Fano & Huffman codes**(or)2.Information, Entropy, Mutual InformationUnit 2PSD OF NRZ & RZ (1 BIPOLAR 2 MANCHESTER 3UNIPOLAR)or 4.ADPCM or ADM full topicUnit 31Pulse shaping Correlative coding 2 ISI 3 EYE DIAGRAM **RAre4.Nyquist criterion for distortion less transmission UNIT 4BPSK QPSK BFSK ALL ARE WITH BER CALCULATIONS UNIT 5 1,LINEAR BLOCK CODE 2, CYCLIC CODE 3, CONVOLUTION & VITTERBY **
4, CHANNEL CODING THEROM**Don't share as screenshot -Stuff sector
**Very important questions are bolded and may be asked based on this topic
PART-C
1.Compulsory Questions {a case study where the student will have to read and analyse the subject }mostly asked from unit 2, 5(OR) a situation given and you have to answer on your own
EC8501 Digital Communication (DC)
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**Very important questions are bolded and may be asked based on this topic
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*These questions are expected for the exams This may or may not be asked for exams All the best.... from admin Santhosh
Thanks for your love and support guys keep supporting and share let the Engineers know about Us and leave a comment below for better improvements If there is any doubt feel free to ask me I will clear if I can or-else I will say some solutions ..get me through WhatsApp for instant updates ~$tuff$£ctorSYllabuSUNIT I INFORMATION THEORY
Discrete Memoryless source, Information, Entropy, Mutual Information – Discrete Memoryless channels – Binary Symmetric Channel, Channel Capacity – Hartley – Shannon law – Source coding theorem – Shannon – Fano & Huffman codes.
UNIT II WAVEFORM CODING & REPRESENTATION
Prediction filtering and DPCM – Delta Modulation – ADPCM & ADM principles-Linear Predictive Coding- Properties of Line codes- Power Spectral Density of Unipolar / Polar RZ & NRZ – Bipolar NRZ – Manchester
UNIT III BASEBAND TRANSMISSION & RECEPTION
ISI – Nyquist criterion for distortion less transmission – Pulse shaping – Correlative coding – Eye pattern – Receiving Filters- Matched Filter, Correlation receiver, Adaptive Equalization
UNIT IV DIGITAL MODULATION SCHEME
Geometric Representation of signals – Generation, detection, PSD & BER of Coherent BPSK, BFSK & QPSK – QAM – Carrier Synchronization – Structure of Non-coherent Receivers – Principle of DPSK.
UNIT V ERROR CONTROL CODING
Channel coding theorem – Linear Block codes – Hamming codes – Cyclic codes – Convolutional codes – Viterbi Decoder
UNIT I INFORMATION THEORY
Discrete Memoryless source, Information, Entropy, Mutual Information – Discrete Memoryless channels – Binary Symmetric Channel, Channel Capacity – Hartley – Shannon law – Source coding theorem – Shannon – Fano & Huffman codes.
UNIT II WAVEFORM CODING & REPRESENTATION
Prediction filtering and DPCM – Delta Modulation – ADPCM & ADM principles-Linear Predictive Coding- Properties of Line codes- Power Spectral Density of Unipolar / Polar RZ & NRZ – Bipolar NRZ – Manchester
UNIT III BASEBAND TRANSMISSION & RECEPTION
ISI – Nyquist criterion for distortion less transmission – Pulse shaping – Correlative coding – Eye pattern – Receiving Filters- Matched Filter, Correlation receiver, Adaptive Equalization
UNIT IV DIGITAL MODULATION SCHEME
Geometric Representation of signals – Generation, detection, PSD & BER of Coherent BPSK, BFSK & QPSK – QAM – Carrier Synchronization – Structure of Non-coherent Receivers – Principle of DPSK.
UNIT V ERROR CONTROL CODING
Channel coding theorem – Linear Block codes – Hamming codes – Cyclic codes – Convolutional codes – Viterbi Decoder