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Signals and Systems

Neso Academy via YouTube

Overview

Explore a comprehensive two-day course on Signals and Systems, covering essential concepts crucial for various engineering fields. Gain a deep understanding of signal definitions, classifications, and operations, as well as basic system properties. Delve into continuous time Fourier Series and Transform, Laplace transform, sampling theorem, and discrete time systems. Master Z-transform, Discrete Fourier transform, Fast Fourier transform, digital filters, and discrete cosine transform. Through carefully designed lectures, develop a strong foundation in these fundamental topics, enhancing your ability to analyze and manipulate signals and systems in both continuous and discrete domains.

Syllabus

Introduction to Signals and Systems.
Continuous and Discrete Time Signals.
Addition of Continuous-Time Signals.
Multiplication of Continuous-Time Signals.
Time Scaling of Continuous-Time Signals.
Amplitude Scaling of Continuous-Time Signals.
Time Shifting of Continuous-Time Signals.
Amplitude Shifting of Continuous-Time Signals.
Reversal of Continuous-Time Signals.
Multiple Transformations of Continuous-Time Signals.
Multiple Transformations of CTS (Important Point & Shortcut).
Multiple Transformations of CTS (Solved Problem 1).
Multiple Transformations of CTS (Solved Problem 2).
Even and Odd Signals.
Even and Odd Components of a Signal.
Properties of Even and Odd Signals.
Even and Odd Signals (Solved Problem 1).
Even and Odd Signals (Solved Problem 2).
Even and Odd Signals (Solved Problem 3).
Even and Odd Signals (Solved Problem 4).
Periodic and Non-Periodic Signals.
Periodic and Non-Periodic Signals (Important Point).
Calculation of Fundamental Period.
Periodic and Non-Periodic Signals (Solved Problems).
Effect of Time-Shifting & Time-Scaling on Fundamental Time Period.
Effect of Time-Reversal and Phase Shift on Fundamental Time Period.
Effect of Amplitude-Shifting on Fundamental Time Period.
Effect of Amplitude-Scaling on Fundamental Time Period.
Effect of Amplitude Reversal on Fundamental Time Period.
Conjugate Symmetric Signals.
Conjugate Antisymmetric Signals.
Half-Wave Symmetric Signals.
Half Wave Symmetric Signals (Solved Problems).
Area of Continuous-Time Signals.
Average Value of Continuous-Time Signals.
Average Value of Continuous-Time Signals (Solved Problems) | Part 1.
Average Value of Continuous-Time Signals (Solved Problems) | Part 2.
Average Value of Continuous Time Signals (Solved Problems) | Part 3.
Energy and Power of Continuous Time Signals.
Energy Signals.
Energy of CT Signals (Solved Problems) | Part 1.
Energy of CT Signals (Solved Problems) | Part 2.
Energy of CT Signals (Solved Problems) | Part 3.
Power Signals.
Power of CT Signals (Solved Problems) | Part 1.
Power of CT Signals (Solved Problems) | Part 2.
Power of CT Signals (Solved Problems) | Part 3.
Power, RMS & Average Values of Standard Signals.
Neither Energy Nor Power (NENP) Signals.
Shortcut for Energy, Power & NENP Signals.
Energy, Power & NENP Signals (Solved Problem 1).
Energy, Power & NENP Signals (Solved Problem 2).
Energy, Power & NENP Signals (Solved Problem 3).
Energy and Power of Discrete-Time Signals.
Orthogonal Signals.
Orthogonal Signals (Solved Problems 1).
Orthogonal Signals (Solved Problems 2).
Orthogonal Signals (Solved Problems 3).
Unit Impulse Signal.
Properties of Impulse Signal (Part 1).
Properties of Impulse Signal (Part 2).
Impulse Signal (Solved Problems) | Part 1.
Impulse Signal (Solved Problems) | Part 2.
Unit Step Signal.
Unit Ramp Signal.
Unit Parabolic Signal.
Relation between Unit Impulse and Unit Step Signals.
Signum Function.
Unit Rectangular Function.
Unit Triangular Function.
Sinc Function.
Sampling Property of Unit Impulse Signal.
Exponential Signals (Real and Complex).
Mathematical Representation of Signal Waveforms (Shortcut).
Mathematical Representation of Signal Waveforms (Solved Problems).
Differentiation of Continuous-Time Signals.
Differentiation of Continuous Time Signals (Solved Problems).
Integration of Continuous-Time Signals.
Integration of Continuous-Time Signals (Solved Problem).
Graphical Integration - Examples (Part 1).
Graphical Integration - Examples (Part 2).
Basic System Properties.
Static and Dynamic Systems.
Static and Dynamic Systems (Solved Problems) | Part 1.
Static and Dynamic Systems (Solved Problems) | Part 2.
Causal and Non-Causal Systems.
Causal and Non-Causal Systems (Solved Problems) | Part 1.
Causal and Non-Causal Systems (Solved Problems) | Part 2.
Time-Invariant and Time-Variant Systems.
Time-Invariant and Time-Variant Systems (Solved Problems) | Part 1.
Time-Invariant and Time-Variant Systems (Solved Problems) | Part 2.
Time-Invariant and Time-Variant Systems (Split System).
Linear and Non-Linear Systems.
Linear and Non-Linear Systems (Solved Problems) | Part 1.
Linear and Non-Linear Systems (Solved Problems) | Part 2.
Linear and Non-Linear Systems (Solved Problems) | Part 3.
Linear and Non-Linear Systems (Solved Problems) | Part 4.
Linear and Non-Linear Systems (Integral & Differential Operators).
Linear and Non-Linear Systems (Even & Odd Operators).
Linear and Non-Linear Systems (Real & Imaginary Operators).
Linear and Non-Linear Systems (Various Nonlinear Operators).
Linear and Non-Linear Systems (All Properties).
Checking System Linearity using Transfer Characteristics.
Invertible and Non-Invertible Systems.
Invertible and Non-Invertible Systems (Solved Problems).
Stable and Unstable Systems.
Stable and Unstable Systems (Solved Problems) | Part 1.
Stable and Unstable Systems (Solved Problems) | Part 2.
Prerequisites for LTI Systems (Revision of Linearity & Time Variance).
Prerequisites for LTI Systems (Laplace Transform).
Linear Time-Invariant (LTI) Systems.
Transfer Function.
Transfer Function Calculation.
Impulse Response and Convolution.
Introduction to Convolution Operation.
Properties of Convolution (Part 1).
Properties of Convolution (Part 2).
Properties of Convolution (Part 3).
Properties of Convolution (Part 4).
Convolution Operation (Shortcut).
Convolution (Solved Problem 1).
Convolution (Solved Problem 2).
Convolution (Solved Problem 3).
Convolution (Solved Problem 4).
Convolution (Solved Problem 5).
Convolution (Solved Problem 6).
Static LTI System.
Static LTI System (Solved Problems).
Causal LTI System.
Causal LTI System (Solved Problems).
Stable LTI System.
Stable LTI System (Solved Problems) | Part 1.
Stable LTI System (Solved Problems) | Part 2.
Harmonics and LTI System.
Magnitude Distortion in LTI Systems.
Phase Distortion in LTI Systems.
Distortionless LTI System.
Group Delay and Phase Delay.
Group Delay & Phase Delay (Solved Problems).
Standard Differential Equation for LTI Systems.
Introduction to Fourier Series.
Conditions for Existence of Fourier Series (Dirichlet Conditions).
Trigonometric Fourier Series.
Trigonometric Fourier Series (Example 1).
Trigonometric Fourier Series (Example 2).
Trigonometric Fourier Series (Example 3).
Trigonometric Fourier Series (Example 4).
Trigonometric Fourier Series (Example 5).
Complex Exponential Fourier Series.
Complex Exponential Fourier Series (Example 1).
Complex Exponential Fourier Series (Example 2).
Complex Exponential Fourier Series (Example 3).
Complex Exponential Fourier Series (Example 4).
Complex Exponential Fourier Series (Example 5).
Relation between Fourier Coefficients.
Relation between Fourier Coefficients (Solved Problem).
x(t)−Cn Pairs (Shortcut for Objectives).
Complex Exponential Fourier Series (Solved MCQ 1).
Complex Exponential Fourier Series (Solved MCQ 2).
Complex Exponential Fourier Series (Solved MCQ 3).
Symmetricities in Fourier Series (Part 1).
Symmetricities in Fourier Series (Part 2).
Hidden Symmetry in Fourier Series (Examples).
Properties of Fourier Series (Part 1).
Properties of Fourier Series (Part 2).
Properties of Fourier Series (Part 3).
Properties of Fourier Series (Part 4).
Properties of Fourier Series (Part 5).
Properties of Fourier Series (Part 6).
Parseval's Power Theorem.
Parseval's Power Theorem (Solved Example).
Properties of Fourier Series (Solved Problems).
Fourier Series for LTI Systems.
Introduction to Fourier Transform.
Conditions for Existence of Fourier Transform (Dirichlet Conditions).
Properties of Fourier Transform (Part 1).
Properties of Fourier Transform (Part 2).
Properties of Fourier Transform (Part 3).
Properties of Fourier Transform (Part 4).
Properties of Fourier Transform (Part 5).
Properties of Fourier Transform (Part 6).
Properties of Fourier Transform (Part 7).
Properties of Fourier Transform (Part 8).
Parseval's Energy Theorem.
Duality Property of Fourier Transform.
Fourier Transform of Basic Signals (DC Value).
Fourier Transform of Basic Signals (Impulse Signal).
Fourier Transform of Basic Signals (Exponential Signals).
Fourier Transform of Basic Signals (Signum Function).
Fourier Transform of Basic Signals (Unit Step Signal).
Fourier Transform of sgn(t) & u(t) [Important Shortcut].
Fourier Transform of Basic Signals (Complex Exponential Signal).
Fourier Transform of Basic Signals (Cosωâ‚€t).
Fourier Transform of Basic Signals (Sinωâ‚€t).
Fourier Transform of Basic Signals (Rectangular Function).
Fourier Transform of Basic Signals (Triangular Function).
Fourier Transform of Basic Signals (Sampling Function).
Fourier Transform (Solved Problem 1).
Fourier Transform (Solved Problem 2).
Fourier Transform (Solved Problem 3).
Fourier Transform (Solved Problem 4).
Fourier Transform (Solved Problem 5).
Fourier Transform (Solved Problem 6).
Fourier Transform (Solved Problem 7).
Fourier Transform (Solved Problem 8).
Fourier Transform (Solved Problem 9).
Fourier Transform (Solved Problem 10).
Calculation of Cn using Fourier Transform.
Fourier Transform for Periodic Signals.
Fourier Transform (Solved Problem 11).
x(t)−X(ω) Pairs (Shortcut for Objectives).
Fourier Transform (Solved Problem 12).
Fourier Transform (Solved Problem 13).
Fourier Transform (Solved Problem 14).
Fourier Transform (Solved Problem 15).
Fourier Transform (Solved Problem 16).
Fourier Transform (Solved Problem 17).
Fourier Transform (Solved Problem 18).
Fourier Transform (Solved Problem 19).
Fourier Transform (Solved Problem 20).
Fourier Transform (Solved Problem 21).
Fourier Transform (Solved Problems 22 & 23).
Introduction to Laplace Transform.
Relation between Laplace Transform & Fourier Transform.
Condition for Existence of Laplace Transform.
ROC and its Properties.
ROC and Stability.
Shortcut for Region of Convergence (ROC).
Properties of Laplace Transform (Part 1).
Properties of Laplace Transform (Part 2).
Properties of Laplace Transform (Part 3).
Properties of Laplace Transform (Part 4).
Properties of Laplace Transform (Part 5).
Properties of Laplace Transform (Part 6).
Initial Value Theorem.
Final Value Theorem.
Laplace Transform of Basic Signals (Unit Impulse Signal).
Laplace Transform of Basic Signals (Unit Step Signal).
Laplace Transform of Basic Signals (DC Value & Signum Function).
Laplace Transform of Basic Signals (Exponential Signals).
Laplace Transform of Basic Signals (Unit Ramp Signal).
Laplace Transform of Basic Signals [Cosωâ‚€t.u(t)].
Laplace Transform of Basic Signals [Sinωâ‚€t.u(t)].
Laplace Transform (Solved Problem 1).
Laplace Transform (Solved Problem 2).
Laplace Transform (Solved Problem 3).
Laplace Transform (Solved Problem 4).
Laplace Transform (Solved Problem 5).
Laplace Transform (Solved Problem 6).
Laplace Transform (Solved Problem 7).
Laplace Transform (Solved Problems 8 & 9).
Laplace Transform (Solved Problem 10).
Laplace Transform (Solved Problem 11).
Inverse Laplace Transform.
Inverse Laplace Transform (Solved Problem).
ROC and Stability of Causal LTI Systems.
Laplace Transform to Solve Differential Equations.
Laplace Transform (Solved Problem 12).
Laplace Transform (Solved Problem 13).
Laplace Transform (Solved Problem 14).
Sampling Theorem.
Nyquist Rate & Nyquist Interval.
Properties of Nyquist Rate.
Nyquist Rate (Solved Problem 1).
Nyquist Rate (Solved Problem 2).
Nyquist Rate (Solved Problem 3).
Reconstruction of Signals.
Reconstruction of a Signal Using Practical LPF.
Frequency Components Present in S(f).
Reconstruction of Signals (Solved Problem 2).
Reconstruction of Signals (Solved Problem 3).
Sampling Theorem for Band Pass Signals.
Operations on Discrete Time Signals (Time Shifting).
Operations on DTS (Time Compression, Time Expansion & Time Reversal).
Operations on DTS (Amplitude Scaling & Amplitude Reversal).
Addition of Discrete Time Signals.
Multiplication of Discrete Time Signals.
Multiple Operations on Discrete Time Signals (Part 1).
Multiple Operations on Discrete Time Signals (Part 2).
Even and Odd Discrete Time Signals.
Even and Odd Parts of Discrete Time Signal.
Conjugate Symmetric and Conjugate Antisymmetric DTS.
Periodic Discrete Time Signals.
Periodic Discrete Time Signals (Solved Problems).
Discrete Time Energy Signals.
Discrete Time Energy Signals (Solved Problems).
Discrete Time Power Signals.
Discrete Time Power Signals (Solved Problems).
Unit Impulse Sequence.
Unit Step & Unit Ramp Sequences.
Discrete Time Signum Function.
Discrete Time Convolution.
Discrete Time Convolution (Tabular Method).
Static & Dynamic Discrete Time Systems.
Causal and Non-Causal Discrete Time Systems.
Time−Invariant & Time−Variant Discrete Time Systems.
Linear and Non−Linear Discrete Time Systems.
Stable & Unstable Discrete Time Systems.
Discrete Time Signals & Systems (Solved Problem 1).
Discrete Time Signals & Systems (Solved Problem 2).
Discrete Time Signals & Systems (Solved Problem 3).
Discrete Time Signals & Systems (Solved Problem 4).
Discrete Time Signals & Systems (Solved Problem 5).
Discrete Time Signals & Systems (Solved Problem 6).
Introduction to Z-Transform.
Condition for Existence of Z-Transform.
Properties of Z-Transform (Part 1).
Properties of Z-Transform (Part 2).
Properties of Z-Transform (Part 3).
Properties of Z-Transform (Part 4).
Properties of Z-Transform (Part 5).
Properties of Z-Transform (Initial Value Theorem).
Properties of Z-Transform (Final Value Theorem).

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  • Profile image for Sai Charan Teja
    Sai Charan Teja
    Course is very good and learned a lot of subject with the help of this course .I enjoyed the course and learned a lot from it. The content is well organised and focused on practical situations. I particularly enjoyed the bits of psychological research shared in the content.

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