IOE PapersTU
PYQs & Syllabus Archive
ENEX 255Bachelor in Electronics, Communication and Information Engineering · Semester 41 Paper Available

Signals and Systems

Past examination question papers and complete curriculum syllabus for Signals and Systems (ENEX 255), Bachelor in Electronics, Communication and Information Engineering Semester 4 under Institute of Engineering (IOE), Tribhuvan University.

Sem 4 Subjects (6)View Full Semester Overview →
ENSH 252Numerical MethodsENCT 251Discrete StructureENEX 252InstrumentationENEX 253Computer Organization and ArchitectureENEX 254ElectromagneticsENEX 255Signals and Systems
PDF PapersMost Asked PYQsPast 10 YearsSyllabusMarks Scheme

Past Question Papers (PDF)

Switch tabs to view different exam papers

4th-sem_Signals and Systems.pdf

IOE Past Examination Paper

Download PDF
Served via fast CDN. Read in full view or download for offline study.
Drive Mirror ↗Direct Download ↓

Document information: This past examination paper is identified as an IOE/TU academic document and was cataloged from a public Google Drive archive. This independent website did not create the examination paper and is not affiliated with TU or IOE.

Rights holders can request correction or removal by emailing subeshgaming@gmail.com with this page URL and supporting details.

Most Frequently Asked Questions

Top recurring IOE board exam questions for Signals and Systems with verified mark schemes, formula notation, and recurrence frequency.

Showing 40 of 40 top repeated questions
6 Chapters · Click any chapter to expand
·

Year-wise & Session-wise Exam Papers

Complete questions from each exam session (Regular & Back exams from 2082 to 2069) for Signals and Systems. Click any session paper to expand.

Showing 325 questions across 28 exam session papers
Institute of Engineering • 2083 Baishakh Board Examination
Q1[4 Marks]Fourier Series
(a) Derive the exponential form of the Fourier series of a discrete-time signal. [4] (b) Find and plot the Fourier series coefficients for the following signal with period .
Q2[4 Marks]Fourier Series
a) Derive the trigonometric fourier series expansion of a continuous-time periodic signal . [5] b) State and prove the time-scaling property for continuous-time fourier series pair. [5] c) State and prove frequency shifting property of discrete time fourier series.
Q3[4 Marks]Frequency Response of Continuous and Discrete Time Systems
(a) Describe the frequency response of a continuous-time LTI system. [4] (b) Derive the transfer function of the RC low-pass filter and plot the magnitude and phase.
Q4[4 Marks]Signal and its Types
(a) Define signals both in continuous time and discrete time with examples. Give the difference between them. [4] (b) Determine whether the following signal is energy or power signal.\n(i) ii)
Q5[5 Marks]Fourier Transform
(a) Derive the Fourier transform pair equations of a discrete-time signal. [5] (b) Find the continuous time Fourier transform of the signal . Discuss the result.
Q6[4 Marks]Linear Time Invariant (LTI) System
(a) Derive the convolution sum of a discrete-time signal. [4] (b) Find the convolution sum of and Choose your own origin.
Q7[4 Marks]Sampling
(a) Define sampling theorem. Explain the aliasing effect and its cause. Find the Nyquist rate and Nyquist time interval of the following signal. [2+2+2] (b) Find the frequency response of the following signal

Curriculum Syllabus & Course Topics

Sourced from TU curriculum portal
Full Syllabus (PDF)
Chapter-wise Units & Micro-Syllabus Topics (6 Units)

  1. 1. Signal and its Types

    • 1.1Introduction to signal and signal processing
    • 1.2Classification of signal based on dimension
    • 1.3Classification of one-dimensional signal (CT and DT) and properties
    • 1.4Fundamental signals: Delta function, unit step, ramp, rectangular pulse, signum function
    • 1.5Relationship between unit step and delta function
    • 1.6Signal classification based on causality
    • 1.7Classification of signals based on periodicity (CT and DT)
    • 1.8Transformation of the independent variable
    • 1.9Energy and power signals
    • 1.10Even and odd signals
    • 1.11System, types of systems: Linear and non-linear, causal and non-causal, time-invariant and time-variant

  2. 2. Fourier Series

    • 2.1Introduction to Fourier series
    • 2.2Fourier series representation of continuous time periodic signal
    • 2.3Properties of continuous time Fourier series: Linearity, time shifting, time scaling, time reversal, convolution, multiplication, frequency shifting, conjugate symmetry, Parseval’s relation
    • 2.4Fourier series representation of discrete time periodic signal
    • 2.5Properties of discrete time Fourier series: Linearity, time shifting, time scaling, time reversal, convolution, modulation, conjugate symmetry, Parseval’s relation
    • 2.6Applications of Fourier series

  3. 3. Fourier Transform

    • 3.1Introduction to Fourier transform
    • 3.2Continuous time Fourier transform
    • 3.3Properties of continuous time Fourier transform: Linearity, time shifting, frequency shifting, time scaling, time reversal, convolution, multiplication, duality, conjugation, Parseval’s relation
    • 3.4Discrete time Fourier transform
    • 3.5Properties of discrete time Fourier transform: Linearity, time shifting, frequency shifting, time reversal, convolution, modulation, conjugation, Parseval’s relation
    • 3.6Fourier transform for periodic signals
    • 3.7Applications of Fourier transform

  4. 4. Linear Time Invariant (LTI) System

    • 4.1Linear time invariant (LTI) system
    • 4.2Convolution integral properties of LTI system
    • 4.3Representation of discrete-time signals in terms of impulses
    • 4.4Convolution sum
    • 4.5Representation of continuous-time signals in terms of impulses
    • 4.6Convolution integral

  5. 5. Sampling

    • 5.1Introduction to sampling
    • 5.2Sampling theorem
    • 5.4Signal reconstruction from sampled version
    • 5.5Aliasing
    • 5.6Band limited signals

  6. 6. Frequency Response of Continuous and Discrete Time Systems

    • 6.1Frequency response of continuous time systems
    • 6.2Transfer function of continuous time system
    • 6.3Impulse response of ideal low-pass, band-pass and high-pass filter
    • 6.4Response of ideal low pass filter to a step function input
    • 6.5Frequency and Impulse response of RC filter
    • 6.6Frequency response of discrete time systems: Transfer function
    • 6.7Impulse response of low-pass, band-pass and high-pass filter

Examination Scheme & Marks Distribution

Evaluation Structure

  • Final Board Theory Exam: 60 Marks (Pass mark: 24)
  • Internal Assessment: 40 Marks (Pass mark: 16)
  • Practical / Lab Exam: 25 or 50 Marks (Continuous lab evaluation + viva, where applicable)

* This is the general current IOE 60/40 scheme; verify course-specific details in the syllabus above.

Exam Preparation Guidelines

  • Review the available past examination paper to understand question styling, typical derivation topics, and marks allocation.
  • Practice drawing labeled circuit schematics, deriving transfer functions, and showing systematic mathematical steps.
  • Structure answers with labeled diagrams, concise bullet points, and highlight final answers in numerical solutions.
Authentic IOE Past Papers
Free Direct PDF Download
Curriculum Syllabus & Marking Scheme