Principles of Digital Communications I

Introduction: A layered view of digital communication, Memory-less sources, prefix free codes, entropy, Quantization, Nyquist theory, Doppler spread, time spread, coherence time and coherence frequency.

Networks Signals and Systems

Introduction, Linearity and Nonlinearity, Distributed and Lumped, Two-port Parameters Short Circuit, Open Circuit, Locus Diagram, Laplace Transform, Frequency Response Bode Plot, Graph Theory, Image Impedance, Iterative Impedance, Fourier Series.

Networks and Systems

Introduction, Fourier Series, Fourier Transforms, Laplace Transforms and Applications, Network functions and Theorems, Discrete Time Systems and State-Variable Methods.

Estimation of Signals and Systems

Introduction, Probability Theory, Random Processes and Linear Systems, Linear Signal Models, Linear Mean Square Error Estimation, Auto Correlation and Power Spectrum Estimation, Introduction to Adaptive Filters, Kalman Filter, Linear Regression-Recursive Least Squares.

Digital Signal Processing (IITKharagpur)

Discrete Time Signals, Z-Transform, Discrete Fourier Transform(DFT), FIR Filters, IIR Filters, Lattice Filter, Effects of Quantization, Random Signals, Multi-rate Signal Processing.

Wireless Communication

Introduction, Types of Wireless communication, cellular concept, Cell capacity and reuse, Interference and System capacity, Improving coverage, Mobile Radio Propagation, Modulation Techniques, Equalization and Diversity Techniques, Coding Techniques, Wireless Networks, GSM and CDMA.

Probability and Random Processes

Introduction, Axioms of Probability, Random Variables,Probability Distributions and Density Functions, Function of a Random Variable, Mean and Variance, Function of Two Random Variables, Correlation Covariance, Correlation Matrices and their Properties, Thebycheff Inquality and Estimation, Central Limit Theorem, Ergodic Processes, Linear Mean Square Estimation - Wiener,Adaptive Filtering - LMS Algorithm.

Digital Signal Processing (IIT Delhi)

Introduction, Characterization Description,Testing of Digital System, LTI Systems Step, Impulse Responses, Convolution, Inverse Systems, Stability, FIR and IIR filters, Recursive and Non Recursive, Discrete Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT), Z Transform.

Digital Image Processing (IIT Kharagpur)

Introduction, Image Digitization, Pixel Relationships, Transformations, Pixel Relationships, Image Interpolation, Image Transformation, Fourier Transformation, Discrete Cosine Transform, K-L Transform, Image Enhancement, Image Restoration, Image Registration, Color Image Processing, Image Segmentation, Mathematical Morphology, Object Representation and Object Recognition.

Communication Engineering

Introduction, Communication channel, Brief Review of Signal and Systems,The Hilbert Transform, Amplitude Modulation, Angle Modulation, AM, FM, FM Generation and Detection, Demodulation of Angle Modulated Signals, The Phase Locked Loop, FM Receivers, Review of Probability Theory and Random Process, Random Processes, Noise in AM and Angle Modulation Systems, Pre emphasis - De emphasis, Data Modulation and Pulse Code Modulation.

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