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.
MODULE-I
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
MODULE-II
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.
MODULE-III
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
MODULE-IV
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.
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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