Signals & Systems | Engineering Essentials | Worked Out Examples

Signals & Systems | Engineering Essentials
Overview
Dive into the fundamentals of Signals & Systems with Engineering Essentials. According to MIT, “Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas”, and the course “presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems”. Hosted by Er. Anand, this comprehensive playlist covers all key concepts needed by electrical and communication engineering students. You will learn about power vs energy signals (finite-energy vs finite-power classification), various signal transformations (time-shifting, scaling, symmetry) and periodicity. Signals & Systems is a core topic with applications in communications, speech and image processing, electronics and more. Mastering these fundamentals is crucial for advanced courses in electrical and computer engineering. The material is ideal for Bachelor’s and Master’s engineering students worldwide, including those at leading institutes like IITs and NITs, seeking clear, example-driven tutorials.
Key Topics Covered
• Power and Energy Signals: Definition and examples of energy signals (finite total energy) versus power signals (finite average power).
• Signal Transformations & Periodicity: Operations such as time-shifting, time-scaling, time-reversal, and identifying periodic vs. aperiodic signals.
• Continuous-Time Signals: Analog signal models and their time-domain representations (e.g. voltage, current waveforms).
• Discrete-Time Signals: Sampled/digital signals and sequences, including basics of discrete-time representation.
• Systems and Properties: Definitions of systems with emphasis on linearity, time-invariance, causality and stability. In particular, Linear Time-Invariant (LTI) systems are covered, where the output can be computed by convolving the input with the system’s impulse response.
• Unit Step and Impulse Signals: The unit step function u(t) and the Dirac delta δ(t) as fundamental building blocks for analysis.
• Convolution (Discrete & Continuous): Calculating the output of LTI systems by convolving input signals with the system’s impulse response, for both discrete-time and continuous-time cases.
• Solved Examples: Step-by-step example problems and walkthroughs for every topic to reinforce concepts and aid exam preparation.
Ideal For
• Engineering Students (B.Tech/M.Tech): Undergraduate and graduate students of Electrical and Electronics Engineering and related fields.
• Top Universities: Learners at premier institutes (IITs, NITs, top global engineering colleges) who need clear Signals & Systems tutorials.
• STEM Learners & Exam Prep: Anyone seeking thorough, example-oriented lecture series on signal analysis and systems theory for coursework or competitive exams.
Instructor & Resources
Er. Anand (Engineering Essentials) explains Signals & Systems concepts with clarity and depth. His videos break down complex ideas into understandable steps, using diagrams and solved problems. Subscribe to Engineering Essentials for more high-quality tutorials in Electrical Engineering, Electronics, and STEM topics.
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Видео Signals & Systems | Engineering Essentials | Worked Out Examples канала Engineering Essentials