Digital Communication for BE VTU Course 15 CBCS (VI- ECE - 15EC61)

Module - 1 Bandpass Signal to Equivalent Lowpass Hilbert Transform Pre-envelopes Complex envelopes Canonical representation of bandpass signals Complex low pass representation of bandpass systems Complex representation of band pass signals and systems. Line codes Unipolar Polar Bipolar (AMI) and Manchester code and their power spectral densities Overview of HDB3 B3ZS B6ZS. (Chapter - 1) Module - 2 Signaling over AWGN Channels - Introduction Geometric representation of signals Gram-Schmidt Orthogonalization procedure Conversion of the continuous AWGN channel into a vector channel Optimum receivers using coherent detection ML Decoding Correlation receiver matched filter receiver. (Chapter - 2) Module - 3 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. Non coherent orthogonal modulation techniques BFSK DPSK Symbol representation Block diagrams treatment of Transmitter and Receiver Probability of error (without derivation of probability of error equation) (Chapter - 3) Module - 4 Communication through Band Limited Channels Digital Transmission through Band limited channels Digital PAM Transmission through Band limited Channels Signal design for Band limited Channels Design of band limited signals for zero ISI - The Nyquist Criterion (statement only) Design of band limited signals with controlled ISI-Partial Response signals Probability of error for detection of Digital PAM Probability of error for detection of Digital PAM with Zero ISI Symbol-by-Symbol detection of data with controlled ISI. Channel Equalization Linear Equalizers (ZFE MMSE) Adaptive Equalizers. (Chapter - 4) Module - 5 Principles of Spread Spectrum Spread Spectrum Communication Systems Model of a Spread Spectrum Digital Communication