Signals and Systems
EC25C04 3rd Semester ECE - Electronics and Communication Engineering Department | 2025 Regulation
2025 regulation - 3rd semester for ECE - Electronics and Communication Engineering Department. Subject Name: Signals and Systems, Subject Code : EC25C04, Batch: 2025, 2026, 2027, 2028. Department: ECE - Electronics and Communication Engineering Department. Institute: Anna University Affiliated Engineering College, TamilNadu. This page has EC25C04 (Signals and Systems) study material, notes, semester question paper pdf download, important questions, lecture notes.
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Signals and Systems
- Classification of Signals and Systems
- Classification of Continuous and Discrete Time Signals
- Energy and Power Signals
- Operations on Signals
- Systems
- Problems Based on Static (or) Dynamic System
- Examples Based on Time Variant and Time Invariant System
- Examples on Linear (or) Non Linear System
- Examples on Causal and Non Causal System
- Examples on Stable and Unstable System
- Important 2 mark Questions with Answers
- Introduction of Continuous Time Signals
- Continuous Time Fourier Series
- Properties of Fourier Series
- Continuous Time Fourier Transform
- Problems Based on Fourier Transform
- Laplace Transform
- Properties of Laplace Transforms
- Initial Value Theorem and Final Value Theorem
- Inverse Laplace Transform
- Important 2 marks Questions with Answers
- Introduction of Linear Time Invariant - Continuous Time Systems
- Block Diagram Representation
- Realization of Systems in Direct Form
- Impulse Response
- Convolution
- Fourier Transform Analysis of CT Systems
- Laplace Transform Analysis of CT System
- Problems Based on Laplace Transform Analysis of CT System
- Important 2 marks Questions with Answers of Linear Time Invariant-Continuous Time Systems
- Introduction of Analysis of Discrete Time Signals
- Discrete Time Fourier Transform (DTFT)
- Problems Based on Properties of DIFT
- Inverse Discrete-Time Fourier Transform
- Z Transform
- Problems Based on z Transform
- Inverse Z Transform
- Relationship between Z Transform and DIFT
- Important 2 marks Questions with Answers Analysis of Discrete Time Signals
- Difference Equations
- Impulse Response Properties
- Block Diagram Representation
- Cascade Form Structure for IIR Systems
- Discrete Time Fourier Transform Analysis of DT Systems
- Z Transform Analysis of DT Systems
- Example Problems Based on z Transform Analysis of Discrete Time Systems
- Convolution Sum
- Problems Based on Convolution Sum
- Properties of Convolution and System Interconnections
- Two Mark Questions with Answers of Linear Time Invariant-Discrete Time Systems
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Signals and Systems
Unit I: Classification of Signals and Systems
- Classification of Signals and Systems
- Classification of Continuous and Discrete Time Signals
- Energy and Power Signals
- Operations on Signals
- Systems
- Problems Based on Static (or) Dynamic System
- Examples Based on Time Variant and Time Invariant System
- Examples on Linear (or) Non Linear System
- Examples on Causal and Non Causal System
- Examples on Stable and Unstable System
- Important 2 mark Questions with Answers
Unit II: Analysis of Continuous Time Signals
- Introduction of Continuous Time Signals
- Continuous Time Fourier Series
- Properties of Fourier Series
- Continuous Time Fourier Transform
- Problems Based on Fourier Transform
- Laplace Transform
- Properties of Laplace Transforms
- Initial Value Theorem and Final Value Theorem
- Inverse Laplace Transform
- Important 2 marks Questions with Answers
Unit III: Linear Time Invariant Continuous Time Systems
- Introduction of Linear Time Invariant - Continuous Time Systems
- Block Diagram Representation
- Realization of Systems in Direct Form
- Impulse Response
- Convolution
- Fourier Transform Analysis of CT Systems
- Laplace Transform Analysis of CT System
- Problems Based on Laplace Transform Analysis of CT System
- Important 2 marks Questions with Answers of Linear Time Invariant-Continuous Time Systems
Unit IV: Analysis of Discrete Time Signals
- Introduction of Analysis of Discrete Time Signals
- Discrete Time Fourier Transform (DTFT)
- Problems Based on Properties of DIFT
- Inverse Discrete-Time Fourier Transform
- Z Transform
- Problems Based on z Transform
- Inverse Z Transform
- Relationship between Z Transform and DIFT
- Important 2 marks Questions with Answers Analysis of Discrete Time Signals
Unit V: Linear Time Invariant-Discrete Systems
- Difference Equations
- Impulse Response Properties
- Block Diagram Representation
- Cascade Form Structure for IIR Systems
- Discrete Time Fourier Transform Analysis of DT Systems
- Z Transform Analysis of DT Systems
- Example Problems Based on z Transform Analysis of Discrete Time Systems
- Convolution Sum
- Problems Based on Convolution Sum
- Properties of Convolution and System Interconnections
- Two Mark Questions with Answers of Linear Time Invariant-Discrete Time Systems
PDF Download Links
EC25C04:
Signals and Systems
Course
Objective:
The
course builds foundational skills for analyzing continuous and discrete-time
signals, including their classification and properties, and explores key
transforms (Fourier, Laplace, Z, DTFT).
Introduction
to Signals and Systems:
Definition
of Signals and Systems, Classification of Signals, Operations on signals,
Singularity functions and related functions. Analogy between vectors and
signals, orthogonal signal space, complete set of orthogonal functions,
Parseval’s relations.
Fourier
Series Analysis:
Fourier
series representation of continuous time periodic signals, Trigonometric and
Exponential Fourier series, Properties of Fourier series.
Fourier
Transform & Laplace Transform:
Fourier
transform of aperiodic signals, standard signals and periodic signals,
Properties of Fourier transforms. Hilbert transform and its properties. Laplace
transforms, RoC, properties. Inverse Laplace transform.
Continuous-Time
LTI Systems:
Continuous
time Systems and its properties. Linear time invariant (LTI) system, Impulse
response. Convolution. Analysis of LTI System using Laplace and Fourier transforms.
Sampling,
Quantization & Discrete-Time Systems:
Sampling
and reconstruction of band limited signals. Low pass and band pass sampling
theorems. Aliasing. Anti-aliasing filter. Practical Sampling-aperture effect.
Quantization. Discrete-time signals and systems. Discrete Fourier series, DTFT,
Z-transform and its properties. Analysis of LTI systems using Z – transform.
Suggested activities:
Quiz based on competitive examination problems (GATE, IES),
Simulation
Assignment.
Weightage: Continuous
Assessment: 40%, End Semester Examinations: 60%.
Assessment Methodology:
Assignment (20%), Software activity (20%), Quiz (20%),
Internal
Examinations (40%).
References:
1.
Oppenheim, A. V., & Schafer, R. W. (2010). Discrete-time signal processing
(3rd ed.). Pearson.
2.
Haykin, S., & Van Veen, B. (2012). Signals and systems (2nd ed.). John
Wiley & Sons. 3. Mitra, S. K. (2009). Digital signal processing: A
computer-based approach (3rd ed.).
Tata
McGraw Hill.
4.
Vaidyanathan, P.P.(2024). Signals, Systems ,and Signal Processing India,
Cambridge University Press.
Signals and Systems: Unit I: Classification of Signals and Systems,, Signals and Systems: Unit II: Analysis of Continuous Time Signals,, Signals and Systems: Unit III: Linear Time Invariant Continuous Time Systems,, Signals and Systems: Unit IV: Analysis of Discrete Time Signals,, Signals and Systems: Unit V: Linear Time Invariant-Discrete Systems,, 3rd Semester 2025 Regulation : EC25C04 3rd Semester ECE - Electronics and Communication Engineering Department | 2025 Regulation Signals and Systems
