Electronics and Communication

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Electronics and Communication

Electronics and Communication

Electronic engineering (also called electronics and communication engineering) is an electrical engineering discipline that uses active non-linear electrical components (such as semiconductor devices, especially transistors and diodes) to design electronic circuits, devices, integrated circuits, and their systems. The discipline also tends to design passive electronic components, usually based on printed circuit boards.

Electronics is a sub-field of a broader academic discipline of electrical engineering, but it means a wide range of engineering fields covering analog electronics, digital electronics, consumer electronics, embedded systems, and power electronics. Electronic engineering involves the implementation of applications, principles, and algorithms developed in many related fields, such as solid-state physics, radio engineering, telecommunications, control systems, signal processing, system engineering, computer engineering, engineering, instrumentation, power control, robotics and many more.

Modules covered in Electronics and Communication

Introduction of Signals, Classification of Signals, General Signal Characteristics, Signal energy & Power, Continuous-Time Signals , Discrete-Time Signals
Basic System Properties, Systems with and without memory, Invertibility, casuality, Stability, Time invariance, Linearity, Linear Time Invariant (LTI) Systems, Discrete Time LTI Systems, Convolution
Representation of Linear Time-Invariant Discrete-Time Systems Convolution of Discrete-Time
Signals Convolution Representation of Linear Time-Invariant Continuous-Time Systems Convolution of Continuous-Time Signals, Properties of LTI Systems, Casual systems

Fourier Representations for Signals: Representation of Discrete Time Periodic signals, Continuous Time Periodic Signals, Discrete Time Non Periodic Signals, Continuous Time Non-Periodic Signals, Properties of Fourier Representations,
Frequency Response of LTI Systems, Fourier Transform representation for Periodic and discrete time Signals, Sampling, reconstruction, Discrete Time Processing of Continuous Time Signals, Fourier Series representation for finite duration Nonperiodic signals.

Modulation Types and Benefits, Full Amplitude Modulation, Pulse Amplitude Modulation, Multiplexing, Phase and Group delays
Representation of Signals using Continuous time Complex Exponentials: Laplace Transform, Unilateral Laplace Transform, its inversion, Bilateral Laplace Transform, Transform Analysis of Systems

Representation of Signals using Discrete time Complex Exponentials: The Z-Transform, Properties of Region of convergence, Inverse Z-Transform, Transform Analysis of LTI Systems, Unilateral Z Transform.

Contents covered in the study material

Lecture 1- Introduction of Signals and system

Lecture 2- Classification of Signals

Lecture 3- Classification of Signals (continued)

Lecture 4- General Signal Characteristics

Lecture 5- Operation on signals

Lecture 6- Fundamentals of Systems

Lecture 7- System properties

Lecture 8- System properties (continued)

Lecture 9- Linear Time-Invariant System

Lecture 10- Convolution of Linear Time-Invariant Discrete-Time Signals

Lecture 11- Convolution Representation of Linear Time-Invariant Continuous-Time Systems

Lecture 12- Properties of LTI Systems, Casual systems

Lecture 13- Fourier Representations for Signals:

Lecture 14- Fourier Representations of Continuous-Time Periodic Signals

Lecture 15- Fourier Representations of Discrete-Time Periodic signals

Lecture 16- Fourier Representations of Continuous-Time Non-Periodic Signals

Lecture 17- Fourier Representations of Discrete-Time Non-Periodic Signals

Lecture 18- Properties of Fourier Representations

Lecture 19- Properties of Fourier Representations (continued)

Lecture 20- Frequency Response of LTI Systems

Lecture 21- Fourier Transform representation for Periodic and discrete-time Signals

Lecture 22- Sampling

Lecture 23- Reconstruction

Lecture 24- Discrete-Time Processing of Continuous-Time Signals

Lecture 25- Fourier Series representation for finite duration Nonperiodic signals.

Lecture 26- Modulation Types and Benefits

Lecture 27- Full Amplitude Modulation

Lecture 28- Pulse Amplitude Modulation

Lecture 29- Multiplexing

Lecture 30- Phase and Group delays

Lecture 31- Representation of Signals using Continuous-time Complex Exponentials: Laplace Transform

Lecture 32- Unilateral Laplace Transform, its inversion

Lecture 33- Laplace Transform Properties

Lecture 34- Representation of Signals using Discrete-time Complex Exponentials: The Z-Transform

Lecture 35- Properties of Region of convergence

Lecture 36- Inverse Z-Transform

Lecture 37- Inverse Z-Transform (continued)

Lecture 38- Z-Transform Properties

Lecture 39- Z-Transform Properties (continued)

Lecture 40- Transform Analysis of LTI Systems

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