EX-302 RGPV B.Tech
Signals and Systems (SS)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
6 papers, latest Dec 2025
- EX-302 paper, Dec 2025
- EX-302 paper, Jun 2025
- EX-302 paper, Dec 2024
- EX-302 paper, Jun 2024
- EX-302 paper, Dec 2023
- EX-302 paper, Jun 2023
Syllabus, notes and important questions for EX-302
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Classification of signals and systems 6 topics
- Continuous‑time (CT) signals: step, ramp, pulse, impulse, sinusoidal and exponential signals
- Discrete‑time (DT) signals: step, ramp, pulse, impulse, sinusoidal and exponential signals
- Basic operations on signals (addition, scaling, time‑shifting, time‑reversal, etc.)
- Classification of signals: periodic vs. aperiodic, energy vs. power signals, random signals
- CT and DT systems and their basic properties (causality, stability, linearity, time‑invariance)
- Linear time‑invariant (LTI) systems and their fundamental properties
Unit 2 Analysis of continuous‑time signals 6 topics
- Time‑domain analysis of CT signals
- Frequency‑domain analysis of CT signals
- Fourier series analysis and spectrum of periodic CT signals
- Fourier transform of CT signals
- Laplace transform and region of convergence (ROC)
- Wavelet transform of CT signals
Unit 3 Linear time‑invariant continuous‑time systems 7 topics
- Differential‑equation representation of LTI CT systems
- Block‑diagram representation of CT systems
- State‑variable representation and matrix form of CT systems
- Impulse response and step response of CT systems
- Frequency response (Bode plot, magnitude‑phase) of CT systems
- Reliability considerations for CT systems
- Design and analysis of analog filters
Unit 4 Analysis of discrete‑time signals 5 topics
- Convolution sum for DT signals and its properties
- Sampling of CT signals, Nyquist criterion and aliasing
- Discrete‑time Fourier transform (DTFT) and its properties
- Z‑transform of DT signals, poles, zeros and ROC
- Inverse Z‑transform techniques
Unit 5 Linear time‑invariant discrete‑time systems 6 topics
- Difference‑equation representation of LTI DT systems
- Block‑diagram representation of DT systems
- Impulse response of DT systems
- Analysis of DT LTI systems using DTFT and Z‑transform
- State‑variable equations and matrix representation for DT systems
- Design and implementation of digital filters
Exam insights
Counted from 6 past EX-302 papers.
Marks asked per paper, by unit
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Unit 1 Classification of signals and systems 34 marks
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Unit 2 Analysis of continuous time signals 28 marks
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Unit 3 Linear time invariant continuous time systems 20 marks
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Unit 4 Analysis of discrete time signals 21 marks
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Unit 5 Linear time invariant discrete time systems 9 marks
Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.
Asked again and again
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State/explain the sampling theorem for band-limited / continuous-time signals and explain aliasing effect and how to avoid/reduce it
Asked 6 times: 2025, 2023, 2020, 2018
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Explain the state variable representation and matrix representation of an LTI continuous-time system with a suitable example.
Asked 5 times: 2025, 2024, 2023, 2020
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Explain even and odd signals with examples, including decomposition of the unit step signal and relation between impulse and unit step functions.
Asked 4 times: 2025, 2024, 2023, 2020