Reviewer: ECE - Electronic Systems and Technologies (Part 1)

Electronic Systems and Technologies 
Part 1 Signals, Spectra, Signal Processing


Hello there, Future Engineers! We have meticulously crafted this 50-item questionnaire to evaluate your understanding of key concepts in Signals, Spectra, and Signal Processing. Our goal is to provide you with an engaging and challenging experience that tests your knowledge while also offering valuable insights into the exciting world of electronic systems and technologies.

This comprehensive questionnaire covers a wide range of topics, including signal representation and analysis, frequency domain concepts, Fourier series and transforms, digital signal processing techniques, and various applications in modern electronics. We have ensured that each question is designed to not only assess your comprehension but also to strengthen your grasp of the underlying principles.'

Whether you are a student seeking to reinforce your learning, an electronics professional looking to enhance your skills, or an enthusiast passionate about exploring the field of electronic systems and technologies, this multiple-choice questionnaire will undoubtedly prove to be a valuable resource in your journey. We encourage you to approach each question with curiosity and determination, as you expand your understanding of the fascinating realm of Signals, Spectra, and Signal Processing. Good luck!

Which of the following is not a classification of signals?

a. Continuous-time and discrete-time signals

b. Even and odd signals

c. Deterministic and stochastic signals

d. Simple and complex signals

Answer: d


What is the minimum sampling rate required to sample a continuous-time signal with a bandwidth of 5 kHz according to the Nyquist-Shannon sampling theorem?

a. 2.5 kHz

b. 5 kHz

c. 10 kHz

d. 15 kHz

Answer: c


Which of the following is a potential consequence of undersampling a continuous-time signal?

a. Distortion

b. Aliasing

c. Amplification

d. Attenuation

Answer: b


A difference equation represents which type of filter?

a. FIR

b. IIR

c. Both FIR and IIR

d. Neither FIR nor IIR

Answer: c


In signal processing, what is the operation that combines two functions to produce a third function?

a. Convolution

b. Correlation

c. Differentiation

d. Integration

Answer: a


The cross-correlation function between two signals is used to measure:

a. The similarity between the signals

b. The difference between the signals

c. The amplitude of the signals

d. The phase shift of the signals

Answer: a


What is the Z-transform of the discrete-time signal x[n] = a^n, where |a| < 1?

a. (1 - a)/(1 - az^(-1))

b. 1/(1 - az^(-1))

c. (1 - a)/(1 + az^(-1))

d. 1/(1 + az^(-1))

Answer: b


In signal processing, what type of filter has a transfer function with only zeros?

a. FIR filter

b. IIR filter

c. All-pass filter

d. Band-pass filter

Answer: a


What is the inverse Fourier transform of the frequency-domain function X(ω) = e^(-jω)?

a. δ(n + 1)

b. δ(n - 1)

c. δ(n)

d. δ(n - 2)

Answer: b


Which of the following techniques is not a filtering method?

a. Moving average filter

b. Median filter

c. FIR filter

d. Standard deviation filter

Answer: d


An IIR filter is characterized by:

a. Having a finite impulse response

b. Having an infinite impulse response

c. Having no feedback

d. Having no feedforward

Answer: b


What property does an even signal have?

a. x(t) = -x(t)

b. x(t) = x(-t)

c. x(t) = -x(-t)

d. x(t) = x(t)

Answer: b


What is the primary difference between deterministic and stochastic signals?

a. Deterministic signals are continuous, while stochastic signals are discrete.

b. Deterministic signals have a fixed frequency, while stochastic signals have a varying frequency.

c. Deterministic signals can be exactly described mathematically, while stochastic signals cannot.

d. Deterministic signals are periodic, while stochastic signals are aperiodic.

Answer: c


In an FIR filter, which of the following is true?

a. The filter has a feedback loop.

b. The filter has an infinite impulse response.

c. The filter has a finite impulse response.

d. The filter has no feedforward.

Answer: c


If a continuous-time signal is sampled at a rate below its Nyquist rate, what phenomenon occurs?

a. Aliasing

b. Clipping

c. Quantization noise

d. Saturation

Answer: a


In the context of signal processing, what is a pole?

a. A zero of the transfer function

b. A root of the denominator of the transfer function

c. A non-zero frequency component

d. A point where the transfer function is undefined

Answer: b


What does a zero-crossing in the time-domain signal represent in the frequency domain?

a. A change in phase

b. A change in amplitude

c. A change in frequency

d. A change in time

Answer: a


Which of the following statements is true about the frequency response of a low-pass filter?

a. It passes high frequencies and attenuates low frequencies.

b. It passes low frequencies and attenuates high frequencies.

c. It passes both low and high frequencies.

d. It attenuates both low and high frequencies.

Answer: b


The Z-transform is used to analyze which type of signals?

a. Continuous-time signals

b. Discrete-time signals

c. Analog signals

d. Digital signals

Answer: b


What is the Fourier transform used for?

a. Transforming a time-domain signal into a frequency-domain signal

b. Transforming a frequency-domain signal into a time-domain signal

c. Transforming a continuous-time signal into a discrete-time signal

d. Transforming a discrete-time signal into a continuous-time signal

Answer: a


Which of the following functions is considered an energy signal?

a. x(t) = e^(-t)u(t)

b. x(t) = sin(t)

c. x(t) = cos(t)

d. x(t) = e^(t)u(t)

Answer: a


What is the main purpose of an anti-aliasing filter in a signal processing system?

a. To prevent aliasing by attenuating high-frequency components before sampling

b. To remove quantization noise after sampling

c. To increase the resolution of the sampled signal

d. To remove interference from neighboring channels

Answer: a


Which of the following is a property of an odd signal?

a. x(t) = -x(t)

b. x(t) = x(-t)

c. x(t) = -x(-t)

d. x(t) = x(t)

Answer: c


What is the primary purpose of a digital filter?

a. To enhance or suppress specific frequency components of a discrete-time signal

b. To convert an analog signal to a digital signal

c. To convert a digital signal to an analog signal

d. To generate a continuous-time output signal from a discrete-time input signal

Answer: a


In the context of signal processing, what is convolution used for?

a. To find the frequency response of a system

b. To find the impulse response of a system

c. To find the output of a linear time-invariant (LTI) system given its input and impulse response

d. To find the input of an LTI system given its output and impulse response

Answer: c


What is the Laplace transform used for?

a. Transforming a time-domain signal into a complex frequency-domain signal

b. Transforming a complex frequency-domain signal into a time-domain signal

c. Transforming a continuous-time signal into a discrete-time signal

d. Transforming a discrete-time signal into a continuous-time signal

Answer: a


Which of the following is a characteristic of a band-pass filter?

a. It passes low frequencies and attenuates high frequencies.

b. It passes high frequencies and attenuates low frequencies.

c. It passes a specific range of frequencies and attenuates frequencies outside that range.

d. It attenuates all frequencies.

Answer: c


Which of the following statements is true about the impulse response of an FIR filter?

a. It has an infinite duration.

b. It has a finite duration.

c. It is always a constant.

d. It is always zero.

Answer: b


In the context of signal processing, what does aliasing refer to?

a. The effect of sampling a signal at a lower rate than the Nyquist rate

b. The effect of using a low-pass filter to remove high-frequency components

c. The effect of quantization noise in a digital signal

d. The effect of interference from neighboring frequency channels

Answer: a


What is the primary purpose of a notch filter?

a. To remove a specific frequency component from a signal

b. To pass only a specific range of frequencies

c. To suppress all frequencies except for a specific frequency

d. To increase the amplitude of a specific frequency component

Answer: a


Which of the following is a property of the Fourier transform?

a. Linearity

b. Time invariance

c. Frequency invariance

d. Causality

Answer: a


In the context of signal processing, what is correlation used for?

a. To find the similarity between two signals

b. To find the difference between two signals

c. To combine two signals to produce a third signal

d. To remove a specific frequency component from a signal

Answer: a


Which of the following is an application of the Z-transform?

a. Analyzing continuous-time signals

b. Analyzing discrete-time signals

c. Analyzing the stability of an analog system

d. Analyzing the stability of a digital system

Answer: b


In an IIR filter, which of the following is true?

a. The filter has a finite impulse response.

b. The filter has an infinite impulse response.

c. The filter has no feedback.

d. The filter has no feedforward.

Answer: b


The main difference between FIR and IIR filters is:

a. The impulse response duration

b. The frequency response shape

c. The order of the filter

d. The phase response

Answer: a


The main purpose of using a high-pass filter is to:

a. Pass low-frequency components and attenuate high-frequency components

b. Pass high-frequency components and attenuate low-frequency components

c. Pass a specific range of frequencies and attenuate frequencies outside that range

d. Remove a specific frequency component from a signal

Answer: b


In the context of digital signal processing, what is quantization?

a. The process of converting a continuous-time signal to a discrete-time signal

b. The process of converting an analog signal to a digital signal

c. The process of converting a digital signal to an analog signal

d. The process of converting a discrete-time signal to a continuous-time signal

Answer: b


Which of the following is true about the impulse response of a linear time-invariant (LTI) system?

a. It is constant for all time.

b. It is the system's output when the input is a unit impulse.

c. It is the system's output when the input is a unit step.

d. It is always zero.

Answer: b


What is the primary purpose of a low-pass filter?

a. To pass high-frequency components and attenuate low-frequency components

b. To pass low-frequency components and attenuate high-frequency components

c. To pass a specific range of frequencies and attenuate frequencies outside that range

d. To remove a specific frequency component from a signal

Answer: b


In a digital signal processing system, which of the following components is responsible for converting a digital signal to an analog signal?

a. Analog-to-digital converter (ADC)

b. Digital-to-analog converter (DAC)

c. Sample-and-hold circuit

d. Anti-aliasing filter

Answer: b


Which of the following is a type of non-linear filter?

a. Moving average filter

b. Median filter

c. FIR filter

d. IIR filter

Answer: b


What is the main purpose of a band-stop filter?

a. To pass low-frequency components and attenuate high-frequency components

b. To pass high-frequency components and attenuate low-frequency components

c. To pass a specific range of frequencies and attenuate frequencies outside that range

d. To attenuate a specific range of frequencies and pass frequencies outside that range

Answer: d


In the context of signal processing, what is the purpose of the Laplace transform?

a. To analyze the stability of a continuous-time system

b. To analyze the stability of a discrete-time system

c. To design digital filters

d. To design analog filters

Answer: a


What is the primary advantage of using an FIR filter over an IIR filter?

a. FIR filters have a simpler structure.

b. FIR filters have a more flexible frequency response.

c. FIR filters can have a linear phase response.

d. FIR filters have a faster response time.

Answer: c



Which of the following signals is aperiodic?

a. x(t) = sin(t)

b. x(t) = cos(t)

c. x(t) = e^(-t)u(t)

d. x(t) = e^(t)u(t)

Answer: c


What is the primary disadvantage of using an IIR filter over an FIR filter?

a. IIR filters have a more complex structure.

b. IIR filters have a less flexible frequency response.

c. IIR filters cannot have a linear phase response.

d. IIR filters have a slower response time.

Answer: c


What is the primary purpose of a sample-and-hold circuit in a digital signal processing system?

a. To convert an analog signal to a digital signal

b. To convert a digital signal to an analog signal

c. To maintain the amplitude of an analog signal constant during the sampling process

d. To prevent aliasing

Answer: c


In the context of signal processing, which of the following statements is true about the relationship between convolution and correlation?

a. Convolution and correlation are the same operation.

b. Convolution is the time-reversed version of correlation.

c. Correlation is the time-reversed version of convolution.

d. Convolution and correlation are completely unrelated operations.

Answer: c


Which of the following is a characteristic of a causal system?

a. The output depends on future input values.

b. The output depends on current and past input values.

c. The output depends on past input values only.

d. The output depends on current input values only.

Answer: b


In the context of digital signal processing, which of the following statements is true about the relationship between the Z-transform and the Laplace transform?

a. The Z-transform is a discrete-time version of the Laplace transform.

b. The Laplace transform is a discrete-time version of the Z-transform.

c. The Z-transform and Laplace transform are the same operation.

d. The Z-transform and Laplace transform are completely unrelated operations.

Answer: a


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