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Digital Communication 2022 Scheme ece Notes VTU University 5th SEM Electronic Communication and Engineering notes, 2022 scheme Notes, study materials, question paper

Digital Communication 2022 Scheme ece Notes VTU University 5th SEM Electronic Communication and Engineering | BEC503 notes

BEC503-Digital Communication 2022 Scheme ece Notes

VTU University notes on 5th SEM Electronic Communication and Engineering 2022 scheme notes 2024. Study materials and previous year question papers on easenotes 2024.

Scheme & Syllabus Copy of Digital Communication 2022 Scheme ece Notes

Digital Communication 2022 Scheme ece BEC503 Notes

Syllabus

Module 1: Bandpass Signals and AWGN Channels

  • Bandpass Signals to Equivalent Lowpass: Hilbert Transform, Pre-envelopes, Complex Envelopes of Band-pass Signals, Canonical Representation of Bandpass Signals.
  • Signaling over AWGN Channels:
    • Introduction
    • Geometric Representation of Signals
    • Gram-Schmidt Orthogonalization Procedure
    • Conversion of Continuous AWGN Channel into a Vector Channel
    • Optimum Receivers using Coherent Detection:
      • ML Decoding
      • Correlation Receiver
      • Matched Filter Receiver

Module 2: Digital Modulation Techniques

  • Phase Shift Keying Techniques Using Coherent Detection:
    • Generation, Detection, and Error Probabilities of BPSK and QPSK
    • M-ary PSK
    • M-ary QAM
  • Frequency Shift Keying Techniques Using Coherent Detection:
    • BFSK Generation, Detection, and Error Probability
  • Noncoherent Detection:
    • BFSK Using Noncoherent Detection
    • Differential Phase Shift Keying

Module 3: Information Theory

  • Introduction
  • Entropy
  • Source Coding Theorem
  • Lossless Data Compression Algorithms
  • Discrete Memoryless Channels
  • Mutual Information
  • Channel Capacity
  • Channel Coding Theorem
  • Information Capacity Law (Statement)

Module 4: Error Control Coding

  • Error Control Using Forward Error Correction
  • Linear Block Codes:
    • Definitions
    • Matrix Descriptions
    • Syndrome and Its Properties
    • Minimum Distance Considerations
    • Syndrome Decoding
    • Hamming Codes
  • Cyclic Codes:
    • Properties
    • Generator and Parity Check Polynomial and Matrices
    • Encoding
    • Syndrome Computation
    • Examples

Module 5: Convolutional Codes

  • Convolutional Encoder
  • Code Tree, Trellis Graph, and State Graph
  • Recursive Systematic Convolutional Codes
  • Optimum Decoding of Convolutional Codes
  • Maximum Likelihood Decoding of Convolutional Codes:
    • The Viterbi Algorithm
    • Examples