Important RGPV Question
EX-302 (Signals And Systems)
III Sem, EX
UNIT-1 : Classifications of signals and systems
Q.1) What are the basic operations on signals? Explain.
(RGPV June 2023)
Q.2) The output of the system is given as y (1) = x (1) +x(1+2) + x (t- 3), then check the given system is time variant or not.
(RGPV June 2023)
Q.3) Define basic properties of systems.
(RGPV June 2023)
Q.4) Define basic standard signals with suitable diagrams.
(RGPV June 2023)
Q.5) Describe Briefly:
i) Find whether the following signals are energy or power signal or neither:
ii) Check whether the following systems are time invariant or not:
(RGPV June 2020)
Q.6) Write the classification of systems based on certain properties.
(RGPV June 2020)
Q.7) Explain the various operations on signals with examples.
(RGPV June 2020)
Q.8) What are the types of representation of discrete time signals? Illustrate with an example.
(RGPV Dec 2020, Nov 2018)
Q.9) How are signals classified ? Differentiate between them.
(RGPV Dec 2020, Nov 2018)
Q.10) Discuss random signals and its statistical properties.
(RGPV Nov 2019)
Q.11) Derive the relation between complex exponential and sinusoidal signals.
(RGPV Nov 2018)
Q.12) How are systems classified ? Define each one of them.
(RGPV Nov 2018)
Q.13) Classify signals. Why the unit step signal u(t) is not even and not odd? Separate even and odd parts of u (t).
(RGPV June 2020)
UNIT-2 : Analysis of continuous time signals
Q.1) Find the Fourier Transform of x (1) =coswt.
(RGPV June 2023)
Q.2) List out the properties of Laplace transform.
(RGPV June 2023)
Q.3) Write down the properties of Fourier transform and Laplace transform.
(RGPV June 2020)
Q.4) Write short note on Dirichlets conditions for Fourier series. Find the Fourier series for
(RGPV June 2020)
Q.5) Find the impulse response of the system.
Q.6) What do you understand by Region of Convergence (RoC). Give an example.
(RGPV Dec 2020)
Q.7) What is the difference between Fourier transform and Laplace transform? Define wavelet transform also.
(RGPV Dec 2020)
Q.8) State the properties of Fourier Series.
(RGPV Dec 2020, Nov 2018)
Q.9) Write a short note on complex Fourier spectrum.
(RGPV Dec 2020, Nov 2018)
Q.10) Make comparison between Fourier transform and Laplace. transform.
(RGPV Nov 2019)
Q.11) Discuss different advantages of wavelet transform on other transforms. Also discuss few properties that a function need to satisfy.
(RGPV Nov 2019)
Q.12) Define and discuss the conditions for orthogonality of
functions.
(RGPV Nov 2018)
Q.13) Derive the expressions for the trigonometric Fourier series coefficients.
(RGPV Nov 2018)
Q.14) State and prove the time shifting and frequency shifting properties of Fourier Transform.
(RGPV Nov 2018)
Q.15) Derive the Fourier transform from exponential Fourier series.
(RGPV Nov 2018)
UNIT-3 : Linear time invariant continuous time signals
Q.1) Find the transfer function of the system governed by the following impulse response.
h(t)=u(t)+3e-4tu(t).
(RGPV June 2023)
Q.2) Obtain the conditions for distortion less transmission through a system. Explain ideal filters.
(RGPV Nov 2018)
UNIT-4 : Analysis of discrete time signals
Q.1) Find the inverse z-transform of the function
X(z)=z/(z+1)(z+2).
(RGPV June 2023)
Q.2) Define sampling and how to avoid aliasing effect in sampling.
(RGPV June 2023)
Q.3) Write a short note on properties of convolution.
(RGPV June 2023)
Q.4) Determine the Z-transform of the signal:
(RGPV June 2020)
Q.5) State sampling Theorem for band-limited signals. What is Aliasing effect? How it can be reduced?
(RGPV June 2020)
Q.6) State and prove the time convolution theorem associated with Fourier transform.
(RGPV Dec 2020)
Q.7) Explain the sampling of Continuous Transform signals and Aliasing.
(RGPV Dec 2020)
Q.8) Convolute graphically the following sequences and verify the results.
(RGPV Nov 2019)
Q.9) State and prove the time convolution theorem associated with Fourier transform.
(RGPV Nov 2018)
Q.10) Explain the sampling of Continuous Transform signals and Aliasing.
(RGPV Nov 2018)
Q.11) State and explain the sampling theorem for band pass signal.
(RGPV Nov 2018)
Q.12) Explain the signal recovery (reconstruction) from its sampled signals.
(RGPV Nov 2018)
UNIT-5 : Linear time invariant discrete time systems
Q.1) Discuss difference equations of Linear Time Invariant Discrete Time Systems.
(RGPV June 2023)
Q.2) Describe analysis of DT LTI systems using DTFT.
(RGPV June 2023)
Q.3) Explain with suitable example what is state variable representation of an LTI CT system.
(RGPV June 2023)
Q.4) Discuss state variable representation and matrix representation of systems.
(RGPV June 2020)
Q.5) The input and output of a causal LTI system are related by the differential equation:
(RGPV June 2020)
Q.6) A LTI system is characterized by the transfer function
Determine the h(n) for the following conditions:
i) The system is stable.
ii) The system is causal.
(RGPV June 2020)
Q.7) Briefly describe:
i) Block diagram representation of LTI continuous time systems.
ii) ROC
(RGPV June 2020)
Q.8) Differentiate between analog and digital filters.
(RGPV June 2020)
Q.9) Discuss different advantages of LTI system on linear time variant system. Also discuss two properties of LTI and prove it.
(RGPV Dec 2020, Nov 2019)
Q.10) A LTI system is described by following differential equation. Find out its impulse response assuming all conditions to be zero.
(RGPV Dec 2020, Nov 2019)
Q.11) The input x(t) and output y(t) for a system satisfy the differential equation.
i) Compute the transfer function and impulse response.
ii)Draw the block diagram representation and other representations.
(RGPV Dec 2020)
Q.12) For a given LTI system determine formula for convolution integral.
(RGPV Nov 2019)
<< Previous : Next >>
— Best of Luck for Exam —
