1Which of the following signals can be represented by a Fourier Series?
A.Any continuous time signal
B.Energy signals only
C.Periodic power signals
D.Aperiodic energy signals
Correct Answer: Periodic power signals
Explanation:Fourier series representation is specifically defined for continuous time periodic signals, which are power signals.
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2The condition for a signal to be periodic with period is:
A. for all
B. for only
C.
D.
Correct Answer: for all
Explanation:A signal is periodic if it repeats its pattern over a specific interval , such that for all time .
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3In the trigonometric Fourier series representation, the term represents:
A.Fundamental frequency component
B.Average (DC) value of the signal
C.RMS value of the signal
D.Phase angle
Correct Answer: Average (DC) value of the signal
Explanation:The coefficient is calculated as , which is the average or DC value of the signal over one period.
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4The fundamental angular frequency is related to the time period by:
A.
B.
C.
D.
Correct Answer:
Explanation:The fundamental angular frequency is defined as divided by the fundamental period .
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5Which of the following is the correct synthesis equation for the Exponential Fourier Series?
A.
B.
C.
D.
Correct Answer:
Explanation:The synthesis equation reconstructs the time-domain signal by summing the exponential basis functions weighted by the coefficients .
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6The set of functions form an:
A.Inconsistent set
B.Orthogonal set
C.Exponential set
D.Aperiodic set
Correct Answer: Orthogonal set
Explanation:Trigonometric Fourier series relies on the property that sine and cosine functions of harmonically related frequencies are orthogonal to each other over the period .
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7For the Exponential Fourier Series coefficient , what is the value of ?
A.
B.The RMS value
C.The average value of
D.
Correct Answer: The average value of
Explanation:Substituting into the equation gives , which is the average value ( in trigonometric form).
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8If a periodic signal is even, i.e., , its Trigonometric Fourier Series contains:
A.Sine terms only
B.Cosine terms and a DC term
C.Sine terms and a DC term
D.Odd harmonics only
Correct Answer: Cosine terms and a DC term
Explanation:For an even function, the coefficients (associated with sine terms) are zero. The series consists only of and (cosine terms).
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9If a periodic signal is odd, i.e., , which coefficients are zero?
A. only
B. only
C. and
D. and
Correct Answer: and
Explanation:For an odd function, the average value is zero, and the cosine coefficients are zero. Only sine terms () exist.
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10The relationship between the exponential Fourier coefficient and trigonometric coefficients (for ) is:
A.
B.
C.
D.
Correct Answer:
Explanation:Using Euler's identity to expand the exponential series leads to .
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11The Dirichlet conditions provide sufficient conditions for:
A.The periodicity of a signal
B.The convergence of the Fourier Series
C.The linearity of a system
D.The stability of a system
Correct Answer: The convergence of the Fourier Series
Explanation:The Dirichlet conditions are a set of three conditions that guarantee a periodic signal can be represented by a convergent Fourier series.
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12Which of the following is NOT a Dirichlet condition?
A. must be absolutely integrable over one period
B. must have a finite number of maxima and minima in one period
C. must differ from zero for all
D. must have a finite number of discontinuities in one period
Correct Answer: must differ from zero for all
Explanation:A signal is allowed to be zero. The incorrect statement is that it must differ from zero. The other three are the standard Dirichlet conditions.
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13At a point of discontinuity , the Fourier series of converges to:
A.
B.
C.
D.
Correct Answer:
Explanation:At a discontinuity, the Fourier series converges to the average of the left-hand and right-hand limits of the signal at that point.
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14The Gibbs phenomenon refers to:
A.The divergence of Fourier series for non-periodic signals
B.Oscillatory behavior and overshoot near discontinuities in a truncated Fourier series
C.The decay of coefficients for smooth signals
D.The phase shift in the frequency spectrum
Correct Answer: Oscillatory behavior and overshoot near discontinuities in a truncated Fourier series
Explanation:When a Fourier series is truncated (finite terms), it exhibits ripples and an overshoot (approx 9%) near discontinuities, known as the Gibbs phenomenon.
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15For a real-valued signal , the exponential Fourier series coefficients satisfy the conjugate symmetry property:
A.
B.
C.
D.
Correct Answer:
Explanation:If is real, the coefficients at negative indices are the complex conjugates of the positive indices ().
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16A signal has half-wave symmetry if:
A.
B.
C.
D.
Correct Answer:
Explanation:Half-wave symmetry implies that the second half of the cycle is the negative of the first half, shifted by half a period.
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17A signal with half-wave symmetry contains only:
A.Even harmonics
B.Odd harmonics
C.DC component and even harmonics
D.Cosine terms only
Correct Answer: Odd harmonics
Explanation:Signals with half-wave symmetry have zero coefficients for . They only contain odd harmonic components.
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18Parseval's relation for the Exponential Fourier Series states that the average power is:
A.
B.
C.
D.
Correct Answer:
Explanation:Parseval's theorem equates the average power in the time domain to the sum of the squared magnitudes of the Fourier series coefficients.
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19If , then the coefficients of the time-shifted signal are:
A.
B.
C.
D.
Correct Answer:
Explanation:According to the time-shifting property, shifting in time by results in multiplying the Fourier coefficients by a linear phase term .
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20If , then the coefficients of the time-reversed signal are:
A.
B.
C.
D.
Correct Answer:
Explanation:Time reversal maps the coefficient index to .
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21The Fourier series coefficients of the derivative of a periodic signal are related to (coefficients of ) by:
A.
B.
C.
D.
Correct Answer:
Explanation:Differentiation in the time domain corresponds to multiplication by in the frequency domain.
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22For the integration property to hold (i.e., coefficients become ), what condition must the signal satisfy?
A.It must be even
B.It must be odd
C.Its average value must be zero
D.It must be discontinuous
Correct Answer: Its average value must be zero
Explanation:If , the integral of the signal will include a ramp term (linear growth), making it non-periodic. Thus, the DC component must be zero for the integral to be periodic.
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23Multiplication of two periodic signals and in the time domain corresponds to what operation on their Fourier series coefficients?
A.Multiplication
B.Addition
C.Discrete Convolution
D.Differentiation
Correct Answer: Discrete Convolution
Explanation:Multiplication in the time domain results in the discrete convolution of their respective spectral coefficients.
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24The plot of versus frequency (or index ) is known as the:
A.Phase spectrum
B.Magnitude spectrum
C.Power density
D.Phase plot
Correct Answer: Magnitude spectrum
Explanation:The magnitude spectrum displays the amplitude (magnitude) of the Fourier coefficients against frequency.
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25For a real-valued signal, the magnitude spectrum is:
A.An odd function of
B.An even function of
C.Always zero
D.Non-symmetric
Correct Answer: An even function of
Explanation:Since , the magnitude . Thus, the magnitude spectrum is symmetric (even) about the y-axis.
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26For a real-valued signal, the phase spectrum is:
A.An odd function of
B.An even function of
C.Constant
D.Always positive
Correct Answer: An odd function of
Explanation:Since , the phase follows . Thus, the phase spectrum is antisymmetric (odd).
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27The Fourier series of an Impulse Train consists of:
A.Constants (all are equal)
B.Decaying exponentials
C.Sine waves only
D.Zero coefficients
Correct Answer: Constants (all are equal)
Explanation:The Fourier series coefficients of a periodic impulse train are constant: for all .
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28If a signal is real and even, its exponential Fourier coefficients are:
A.Real and Even
B.Purely Imaginary and Odd
C.Complex
D.Real and Odd
Correct Answer: Real and Even
Explanation:A real and even time signal transforms into real and even Fourier coefficients.
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29If a signal is real and odd, its exponential Fourier coefficients are:
A.Real and Even
B.Purely Imaginary and Odd
C.Purely Imaginary and Even
D.Complex
Correct Answer: Purely Imaginary and Odd
Explanation:A real and odd time signal transforms into purely imaginary and odd Fourier coefficients.
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30The frequency spectrum of a continuous time periodic signal is:
A.Continuous and periodic
B.Continuous and aperiodic
C.Discrete and aperiodic
D.Discrete and periodic
Correct Answer: Discrete and aperiodic
Explanation:The spectrum exists only at harmonic frequencies , making it discrete. It is not inherently periodic in the frequency domain (unlike discrete-time signal spectra).
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31What happens to the Fourier coefficients if the signal is time-scaled to where ?
A.The coefficients change to
B.The coefficients remain the same, but the fundamental frequency becomes
C.The coefficients are squared
D.The coefficients become zero
Correct Answer: The coefficients remain the same, but the fundamental frequency becomes
Explanation:Time scaling changes the period/frequency of the signal, changing the spacing of the spectral lines, but the actual values of the coefficients (which depend on the signal shape over one period) remain unchanged relative to the harmonic index.
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32Which signal has Fourier coefficients that decay as ?
A.A smooth continuous signal
B.A signal with jump discontinuities (e.g., Square wave)
C.A signal with discontinuous first derivative (e.g., Triangular wave)
D.Impulse train
Correct Answer: A signal with jump discontinuities (e.g., Square wave)
Explanation:The rate of decay of Fourier coefficients depends on the smoothness. Jump discontinuities lead to a decay.
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33Which signal has Fourier coefficients that decay as ?
A.Square wave
B.Triangular wave (Continuous but discontinuous slope)
C.Impulse train
D.Sine wave
Correct Answer: Triangular wave (Continuous but discontinuous slope)
Explanation:If the signal is continuous but its first derivative has discontinuities (like a triangle wave), coefficients decay as .
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34When simulating the frequency spectrum of a periodic signal using software, the spacing between spectral lines is determined by:
A.The sampling frequency
B.The fundamental frequency
C.The amplitude of the signal
D.The phase of the signal
Correct Answer: The fundamental frequency
Explanation:In a line spectrum, the components are spaced apart by the fundamental frequency or .
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35In a software simulation, calculating Fourier Series coefficients often involves numerical integration. Which method effectively implements this for discrete data?
A.Laplace Transform
B.Fast Fourier Transform (FFT)
C.Z-Transform
D.Convolution
Correct Answer: Fast Fourier Transform (FFT)
Explanation:While FS is for CT signals, software simulations use discrete samples and the FFT (an algorithm for DFT) to approximate the spectral content.
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36The Power Spectral Density (PSD) of a periodic signal describes:
A.How energy is distributed with frequency
B.How power is distributed with frequency
C.The total energy of the signal
D.The phase shift at each frequency
Correct Answer: How power is distributed with frequency
Explanation:For periodic signals (power signals), the PSD indicates the power contribution of each harmonic component.
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37If , the exponential Fourier coefficients are:
A., others 0
B.
C., others 0
D.
Correct Answer: , others 0
Explanation:Using Euler's identity, . Thus and .
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38If , the exponential Fourier coefficients are:
A.
B.
C.
D.
Correct Answer:
Explanation:Using Euler's identity, . Thus and .
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39What is the Fourier Series representation of a constant signal ?
A. for
B. for all
C.
D.It does not exist
Correct Answer: for
Explanation:A DC constant has zero frequency. Only the DC component exists and equals .
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40The linearity property of Fourier Series implies that if , then its coefficients are:
A.
B.
C.
D.
Correct Answer:
Explanation:The Fourier Series is a linear transformation. Linear combinations in time result in the same linear combinations of coefficients.
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41Frequency shifting: If the coefficients are shifted to , the time domain signal becomes:
A.
B.
C.
D.
Correct Answer:
Explanation:Multiplying the signal by shifts the spectrum index by .
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42The Fourier series expansion of a periodic square wave with zero DC value contains:
A.All harmonics
B.Odd harmonics of sine (or cosine) terms
C.Even harmonics only
D.Only the fundamental component
Correct Answer: Odd harmonics of sine (or cosine) terms
Explanation:A symmetric square wave (zero average) usually exhibits half-wave symmetry (and odd/even symmetry depending on phase), resulting in only odd harmonics.
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43If a periodic signal is decomposed into even and odd parts , then generates:
A.Re
B.Im
C.
D.Zero coefficients
Correct Answer: Re
Explanation:The even part of the signal contributes to the real part of the exponential Fourier coefficients (related to cosine terms).
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44The total power of a periodic signal is 10 W. If the DC component power is 2 W, what is the power contained in the AC components?
A.12 W
B.8 W
C.5 W
D.100 W
Correct Answer: 8 W
Explanation:Total Power = DC Power + AC Power. Therefore, AC Power = W.
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45Why is the exponential form of Fourier series often preferred over the trigonometric form in software simulation and analysis?
A.It avoids complex numbers
B.Mathematical compactness and ease of manipulation
C.It only deals with positive frequencies
D.It has no convergence issues
Correct Answer: Mathematical compactness and ease of manipulation
Explanation:The exponential form unifies sine and cosine into a single complex exponential term, simplifying algebraic manipulations, convolution, and system analysis.
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46For a periodic signal , if , the Fourier Series becomes:
A.Fourier Transform
B.Laplace Transform
C.Z-Transform
D.Discrete Fourier Series
Correct Answer: Fourier Transform
Explanation:As the period approaches infinity, the signal becomes aperiodic, the spectral lines become infinitesimally close, and the sum becomes an integral (Fourier Transform).
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47Which mathematical tool is used to prove the orthogonality of the basis functions in Fourier Series?
A.Integration over one period
B.Differentiation
C.Convolution
D.Limit as
Correct Answer: Integration over one period
Explanation:Orthogonality is proven by integrating the product of two basis functions over the period and showing the result is zero unless the functions are identical.
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48If a periodic signal is time-shifted, which aspect of its spectrum changes?
A.Magnitude spectrum only
B.Phase spectrum only
C.Both magnitude and phase
D.Neither magnitude nor phase
Correct Answer: Phase spectrum only
Explanation:Time shifting introduces a linear phase term . , so magnitude is unchanged, but the angle changes.
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49In the context of software simulation, 'Aliasing' would occur if:
A.The signal is not periodic
B.The sampling rate is too low compared to the highest frequency harmonic
C.The Fourier series is truncated
D.The signal has no DC component
Correct Answer: The sampling rate is too low compared to the highest frequency harmonic
Explanation:Though this unit is CTFS, software simulation implies discrete sampling. If the periodic signal has high-frequency harmonics and sampling is slow (Nyquist violation), aliasing occurs.
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50The RMS value of a periodic signal can be calculated from the Fourier coefficients as:
A.
B.
C.
D.
Correct Answer:
Explanation:This is Parseval's theorem in trigonometric form. The DC component is squared directly, while AC sinusoidal amplitudes are squared and divided by 2 (since RMS of sinusoid is ).
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