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5 of 9 articles

Even and Odd Signals

Symmetry properties, decomposition into even and odd parts.

Darshan N
Updated: 7 April 2026
9 min read

Even and odd decomposition lets you split any signal into symmetric and anti-symmetric parts, simplifying Fourier analysis and filter design. Audio equalizers exploit this structure to separate spectral components efficiently.

tx(t)x_e(t) evenx_o(t) oddEven component symmetric about t=0; odd component anti-symmetric
Any signal x(t) = x_e(t) + x_o(t), where x_e is even and x_o is odd.

Core Concept

A signal is even if flipping the time axis produces the same signal: x(-t) = x(t). Think of cos(t) — it looks identical whether you play it forward or backward. The function is perfectly symmetric about t = 0.

A signal is odd if flipping time negates the signal: x(-t) = -x(t). The function sin(t) is the classic example. An odd signal always passes through zero at t = 0 because x(0) = -x(0) forces x(0) = 0.

Any arbitrary signal can be decomposed uniquely. The even part is x_e(t) = [x(t) + x(-t)] / 2 and the odd part is x_o(t) = [x(t) - x(-t)] / 2. Substituting back always recovers x(t) exactly. This is useful because Fourier series coefficients of even signals contain only cosine terms.

Key Formula

The decomposition identities are the core formulas. Every symbol here has a clear role.

x_e(t) = [x(t) + x(-t)] / 2 — even part. x_o(t) = [x(t) - x(-t)] / 2 — odd part. x(t) defined for all real t. Verify: x_e(t) + x_o(t) = [x(t) + x(-t) + x(t) - x(-t)] / 2 = x(t). Transform pair reminder: even signal has real Fourier transform; odd signal has imaginary Fourier transform.

Example
Given: x(t) = t + 3, find even and odd parts.

Formula:
  x_e(t) = [x(t) + x(-t)] / 2
  x_o(t) = [x(t) - x(-t)] / 2

Step 1: Find x(-t)
  x(-t) = -t + 3

Step 2: Even part
  x_e(t) = [(t + 3) + (-t + 3)] / 2
         = [6] / 2
         = 3

Step 3: Odd part
  x_o(t) = [(t + 3) - (-t + 3)] / 2
         = [2t] / 2
         = t

Final Answer:
  x_e(t) = 3  (constant, symmetric)
  x_o(t) = t  (linear, anti-symmetric)
  Check: 3 + t = t + 3 = x(t)  [correct]
Exam Tip: Anna University problems often ask you to prove a signal is even or odd before computing its Fourier series. Always check x(-t) explicitly — do not guess from the graph. Remember that the product of two even signals is even, the product of two odd signals is also even, and the product of one even and one odd signal is odd. This product rule saves time in multiple-choice questions on Fourier coefficient symmetry.

Properties Summary

  • Even symmetry: x(-t) = x(t) for all t; the Fourier transform X(f) is real-valued.
  • Odd symmetry: x(-t) = -x(t) for all t; X(f) is purely imaginary.
  • Decomposition: x(t) = x_e(t) + x_o(t) always holds; decomposition is unique.
  • Product rule: even x even = even; odd x odd = even; even x odd = odd.
  • Integration: integral of an odd signal over a symmetric interval [-T, T] is always zero.
  • Discrete-time: same definitions apply — x_e[n] = [x[n] + x[-n]] / 2.

Quick Revision

  • Even signal: x(-t) = x(t); symmetric about vertical axis.
  • Odd signal: x(-t) = -x(t); passes through origin.
  • Even part formula: x_e(t) = [x(t) + x(-t)] / 2.
  • Odd part formula: x_o(t) = [x(t) - x(-t)] / 2.
  • Fourier series of even signal has only cosine (a_n) terms.
  • Fourier series of odd signal has only sine (b_n) terms.
  • Integral of odd signal over symmetric limits = 0.
  • Exam trap: assuming a signal must be purely even or purely odd. Most real signals are neither — always perform the decomposition explicitly.

Even Odd Signals

Test your ability to decompose signals into even and odd components and apply symmetry properties.

Question 1 of 3

Q1.For x(t) = e^(-t) * u(t), what is the odd component x_o(t)?