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Previous year question hub

LTI Systems, Convolution and Correlation - Signals and Systems - Biomedical Engineering Previous Year Questions

Practice LTI Systems, Convolution and Correlation - Signals and Systems - Biomedical Engineering previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

7Papers
7Years
19Questions
1Topics

LTI Systems, Convolution and Correlation question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for LTI Systems, Convolution and Correlation. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Medium 10 52.6%
Easy 8 42.1%
Hard 1 5.3%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 10 52.6%
MSQ 5 26.3%
Numerical Answer Type (NAT) 4 21.1%

Subject weightage

Top subjects by unique question coverage.

Biomedical Engineering
19 Qs

Most asked topics

Top topics across the included previous year papers.

Signals and Systems
19 Qs

Subtopic coverage

Top subtopics inside this exact selection.

LTI Systems, Convolution and Correlation
19 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Biomedical Engineering (BM) 2026
2 Qs
Biomedical Engineering (BM) 2025
2 Qs
Biomedical Engineering (BM) 2024
2 Qs
Biomedical Engineering (BM) 2023
4 Qs
Biomedical Engineering (BM) 2022
3 Qs
Biomedical Engineering (BM) 2021
3 Qs
Biomedical Engineering (BM) 2020
3 Qs

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Biomedical Engineering (BM) 202620262View paper
Biomedical Engineering (BM) 202520252View paper
Biomedical Engineering (BM) 202420242View paper
Biomedical Engineering (BM) 202320234View paper
Biomedical Engineering (BM) 202220223View paper
Biomedical Engineering (BM) 202120213View paper
Biomedical Engineering (BM) 202020203View paper

All LTI Systems, Convolution and Correlation previous year questions

Practice every matching question in batches of 20, with every available option.

1
2020 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2020
\(m_1\) and \(m_2\) are the roots of the characteristic equation of a linear second order physical system. Match the nature of the roots with the natural response of the system.
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2
2020 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2020
A second order low pass filter is being constructed by cascading two first order low pass filters with the following transfer functions \(H_1(j\omega) = \frac{1}{1 + j\omega/\omega_1}\), \(H_2(j\omega) = \frac{1}{1 + j\omega/\omega_2}\), where \(\omega_1\) and \(\omega_2\) are the respective 3dB cut off frequencies. The undamped natural frequency \(\omega_c\) of the resulting second order low pass filter is
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3
2020 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2020
A cell is injected with a current i(t) = u (t) to produce a change in the intracellular membrane voltage v (t). The cell-membrane is modeled as a linear system with impulse response h (t) = A e−t/τ u(t). The cell membrane voltage output at 5 ms is __________ mV.
Use A = −34 V/s; τ = 3 ms.
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4
2021 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2021
A unit step input is applied to a system with impulse response \(H(s) = \frac{1-s/\omega_z}{1+s/\omega_p}\) at \(t = 0\). The output of the system \(y(t)\) at \(t = 0^+\) is ______.
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5
2021 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2021
\(x[n]\) is convolved with \(h[n]\) to give \(y[n]\). If \(y[2] = 1\) and \(y[3] = 0\), \(h[0]\) = ______. (Graphs are not uniformly scaled)

Question diagram

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6
2021 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2021
The closed-loop characteristic equation of a system is given by
\[ s^4 + 2s^3 + 8s^2 + 8s + 16 = 0 \]
The frequency of oscillations of this closed-loop system at steady state is ______ rad/s.
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7
2022 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2022
An input \(x(t)\) is applied to a system with a frequency transfer function given by \(H(j\omega)\) as shown below. The magnitude and phase response of the transfer function are shown below. If \(y(t_d) = 0\) for \(x(t) = u(t)\), the time \(t_d (> 0)\) is ______ \(\mu s\).

Question diagram

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8
2022 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2022
The block diagram of a two-tap high-pass FIR filter is shown below. The filter transfer function is given by \(H(z) = Y(z)/X(z)\).
If ratio of the maximum to minimum value of \(H(z)\) is 2 and \(|H(z)|_{max} = 1\), the coefficients \(\beta_0\) and \(\beta_1\) are ______ and ______, respectively.
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9
2022 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2022
The block diagrams of an ideal system and a real system with their impulse responses are shown below. An auxiliary path is added to the delayed impulse response in the real system.
For a unit impulse input (\(x(t) = \delta(t)\)) to both systems, gain \(\beta\) is chosen such that \(y(4T)\) is same for both systems. The value of \(\beta\) is ______.
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10
2023 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2023
A causal, discrete time system is described by the difference equation
\[ y[n] = 0.5 y[n-1] + x[n], \text{ for all } n, \]
where \( y[n] \) denotes the output sequence and \( x[n] \) denotes the input sequence. Which of the following statements is/are TRUE?
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11
2023 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2023
Two sequences \(x_1[n]\) and \(x_2[n]\) are described as follows:
\(x_1[0] = x_2[0] = 1\)
\(x_1[1] = x_2[2] = 2\)
\(x_1[2] = x_2[1] = 1\)
\(x_1[n] = x_2[n] = 0\) for all \(n < 0\) and \(n > 2\)
If \(x[n]\) is obtained by convolving \(x_1[n]\) with \(x_2[n]\), which of the following equations is/are TRUE?
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12
2023 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2023
The continuous time signal \(x(t)\) is described by
\(x(t) = \begin{cases} 1, & 0 \le t \le 1 \\ 0, & \text{elsewhere} \end{cases}\)
If \(y(t)\) represents \(x(t)\) convolved with itself, which of the following statements is/are TRUE?
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13
2023 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2023
A system is described by the following differential equation
\( 0.01 \frac{d^2y(t)}{dt^2} + 0.2 \frac{dy(t)}{dt} + y(t) = 6x(t) \),
where time (t) is in seconds. If \( x(t) \) is the unit step input applied at \( t = 0 \) s to this system, the magnitude of the output at \( t = 1 \) s is ______. (Round off the answer to two decimal places.)
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14
2024 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2024
The input \(x(t)\) and the output \(y(t)\) of a linear time invariant system are related as follows: \[y(t) + \frac{dy(t)}{dt} + 0.5\frac{d^2y(t)}{dt^2} = x(t) + 0.1\frac{dx(t)}{dt}\] What is the Laplace transform of the impulse response of the system?
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15
2024 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2024
If \(x[n] = u[n] - u[n - 5]\), and \(h[n] = \delta[n] - \delta[n - 1]\) and \(y[n] = x[n] * h[n]\), then the value of \(\sum_{n=-\infty}^{\infty} y[n]\) is ______. Give your answer rounded off to the nearest integer.
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16
2025 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2025
Two systems \( U \) and \( V \) are defined as shown below. Which of the following statement(s) is/are CORRECT?

Question diagram

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17
2025 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2025
A discrete linear time invariant system has an impulse response function given by \( h[n] = \delta[n] + \frac{1}{2} \delta[n-1] + \frac{1}{3} \delta[n-2] \). For input signal \( x[n] = \delta[n] + \delta[n-1] \), which of the following option(s) is/are CORRECT for the output signal \( y[n] \)?
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18
2026 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2026
The output \(y[n]\) of a digital moving average filter for an input \(x[n]\) is given by

\(y[n] = \frac{1}{4}(x[n] + 2x[n-1] + x[n-2])\)

Which one of the following options is a correct statement about the transfer function of this filter?
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19
2026 · Biomedical Engineering · Signals and Systems · LTI Systems, Convolution and Correlation
Biomedical Engineering (BM) 2026
The figure below shows the impulse response of a linear time-invariant (LTI) system, \(h[n] = [0, 0.6, 0.8, 0.5, 0.3, 0]\). For an input \(x[n] = [1, 0.6, 0, 0, 0, 0]\), the maximum value of its output \(y[n]\) is __________
(Round off to one decimal place)

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