Understanding Types of Signals in Engineering

May 22, 2025

Lecture Notes: Signals and Systems - Types of Signals

Introduction

  • Presenter: Professor (Author of 25+ Engineering books)
  • Subject: Signals and Systems
  • Focus: Types of signals (important for the entire subject)

Definition of a Signal

  • A physical quantity that varies with one or more variables
  • Examples in daily life: Traffic light signal, satellite signal, TV signal, mobile signal
  • Practical examples: Sine wave signal, triangular wave signal, square wave signal

Types of Signals

  1. Continuous or Discrete Signal

    • Continuous Signal (CT): Also known as continuous time signal, represented as X(t), changes continuously over time.
      • Mathematical representation: A sine wave - X(t) = A sin(ωt)
      • A = Amplitude, ω = Angular frequency (2πf)
    • Discrete Signal (DT): Consists of pulses, represented at certain instances of time, represented as X[n]
      • Mathematical representation: X[n] = A sin(ωn)
  2. Periodic or Non-Periodic Signal

    • Periodic Signal: Repeats after a certain time period
      • Example: Sine wave, fundamental period denoted as T
      • Mathematical representation: X(t) = X(t + T)
    • Non-Periodic Signal: Does not repeat over time
  3. Even or Odd Signal

    • Even Signal (Symmetric): Symmetric about the vertical axis
      • Condition: X(t) = X(-t)
    • Odd Signal (Anti-Symmetric): Anti-symmetric about the vertical axis
      • Condition: X(t) = -X(-t)
  4. Energy or Power Signal

    • Energy Signal: Average normalized energy is non-zero and finite
      • Energy (E) is measured in joules
    • Power Signal: Average normalized power is non-zero and finite
      • Power (P) is measured in watts
  5. Deterministic or Random Signal

    • Deterministic Signal: Can be expressed by a mathematical equation or truth table
      • Examples: Sine wave, cosine wave, triangular wave
    • Random Signal: Cannot be represented mathematically or by a truth table
      • Example: Noise

Summary

  • Understanding the types of signals is crucial for the study of signals and systems.
  • Application of these signal types is foundational for the entire subject.