Syllabus Digital Communication - (304181) Credit Examination Scheme : 03 In-Sem (Theory) : 30 Marks End Sem (Theory) : 70 Marks Unit I Random Processes & Noise Random Processes : Introduction, Mathematical definition of a random process, Stationary processes, Mean, Correlation and Covariance function, Ergodic processes, Transmission of a random process through a LTI filter, Power spectral density. Mathematical Representation of Noise : Some Sources of Noise, Frequency-domain Representation of Noise, Superposition of Noises, Linear Filtering of Noise, Quadrature Components of Noise, Representation of Noise using Orthonormal Coordinates. (Chapter - 1) Unit II Digital Modulation - I Baseband Signal Receiver : Probability of Error, Optimal Receiver Design. Digital Modulation : Generation, Reception, Signal Space Representation and Probability of Error Calculation for Binary Phase Shift Keying (BPSK), Binary Frequency Shift Keying (BFSK), Quadrature Phase Shift Keying (QPSK), M-ary Phase Shift Keying (MPSK). (Chapter - 2) Unit III Digital Modulation - II Generation, Reception, Signal Space Representation and Probability of Error Calculation for Quadrature Amplitude Shift Keying (QASK), M-ary FSK (MFSK), Minimum Shift Keying (MSK), Pulse Shaping to reduce Interchannel and Intersymbol Interference, some Issues in transmission and reception, Orthogonal Frequency Division Multiplexing (OFDM), Comparison of digital modulation systems. (Chapter - 3) Unit IV Spread Spectrum Modulation Use of Spread Spectrum , Direct Sequence (DS) Spread Spectrum, Spread Spectrum and Code Division Multiple Access (CDMA), Ranging Using DS Spread Spectrum, Frequency Hopping (FH) Spread Spectrum, Pseudorandom (PN) Sequences : Generation and Characteristics, Synchronization in Spread Spectrum Systems (Chapter - 4) Unit V Information Theoretic Approach to Communication System Introduction to information theory, Entropy and its properties, Source coding theorem, Huffman coding, Shannon-Fano coding, Discrete memory less channel, Mutual information, Channel capacity, Channel coding theorem, Differential entropy and mutual Information for continuous ensembles, Information Capacity theorem. (Chapter - 5) Unit VI Error-Control Coding Linear Block Codes : Coding, Syndrome and error detection, Error detection and correction capability, Standard array and syndrome decoding. Cyclic Codes : Coding & Decoding, Convolutional Codes: Coding & Decoding, Introduction to Turbo Codes & LDPC Codes. (Chapter - 6)
