With reference to Fourier Series representation of periodic signals, consider the following statements:1.Fourier Series decomposes a periodic signal into a sum of harmonically related sinusoids.2.The coefficients of the Fourier Series depend on the fundamental period of the signal.3.Fourier Series can directly represent non-periodic signals without modification.4.Both exponential and trigonometric forms of Fourier Series are equivalent representations.Which of the above statements is/are correct?
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Fourier methods decompose signals into frequency components. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials; non-periodic signals are handled by Fourier transform rather than ordinary Fourier series. Key relation: Real even x(t) ⇒ X(ω) real and even.
Exam focus: Symmetry can eliminate sine/imaginary terms immediately. Common trap: Fourier series is fundamentally for periodic signals.
Formula / Key Relation
Real even x(t) ⇒ X(ω) real and even.
Detailed Explanation
Correct Answer: C - 1, 2 and 4 only Quick Concept Explanation Fourier methods decompose signals into frequency components. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials; non-periodic signals are handled by Fourier transform rather than ordinary Fourier series. Key relation: Real even x(t) ⇒ X(ω) real and even.Exam focus: Symmetry can eliminate sine/imaginary terms immediately. Common trap: Fourier series is fundamentally for periodic signals. Statement-wise Verification Statement 1 - Correct.Fourier Series decomposes a periodic signal into a sum of harmonically related sinusoids.Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials…
Correct Answer: C - 1, 2 and 4 only
Quick Concept Explanation
Fourier methods decompose signals into frequency components. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials; non-periodic signals are handled by Fourier transform rather than ordinary Fourier series. Key relation: Real even x(t) ⇒ X(ω) real and even.
Exam focus: Symmetry can eliminate sine/imaginary terms immediately. Common trap: Fourier series is fundamentally for periodic signals.
Statement-wise Verification
Statement 1 - Correct. Fourier Series decomposes a periodic signal into a sum of harmonically related sinusoids. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials
Statement 2 - Correct. The coefficients of the Fourier Series depend on the fundamental period of the signal. A real even time-domain signal has a real even Fourier transform and zero odd component.
Statement 3 - Incorrect. Fourier Series can directly represent non-periodic signals without modification. Ordinary Fourier series is for periodic signals; Fourier transform is used for non-periodic signals
Statement 4 - Correct. Both exponential and trigonometric forms of Fourier Series are equivalent representations. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials
Core Concept
Fourier methods decompose signals into frequency components. A real even time-domain signal has a real even Fourier transform and zero odd component. Fourier series represents periodic signals as harmonically related sinusoids or equivalent complex exponentials; non-periodic signals are handled by Fourier transform rather than ordinary Fourier series.
Formula / Key Relationship
Real even x(t) ⇒ X(ω) real and even.
Why the Other Options Are Wrong
Option A is incorrect because it omits correct statement(s) 4. Option B is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 1, 4. Option D is incorrect because it includes incorrect statement(s) 3.
Exam Shortcut / Approach
Symmetry can eliminate sine/imaginary terms immediately.
Common Mistake
Fourier series is fundamentally for periodic signals.
Quick Revision
Trigonometric and Exponential Fourier Series is linked with Periodic Signals, Fourier Series and Signals and Systems. Symmetry can eliminate sine/imaginary terms immediately.
Quick Trick
Symmetry can eliminate sine/imaginary terms immediately.
Why Other Options Are Wrong
Option A is incorrect because it omits correct statement(s) 4. Option B is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 1, 4. Option D is incorrect because it includes incorrect statement(s) 3.
Common Mistake
Fourier series is fundamentally for periodic signals.
Exam Tip
Symmetry can eliminate sine/imaginary terms immediately.
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