Preview Questions Signal Processing Engineer | Role Specific Skill

Question 1: In image compression, what is the main advantage of using a Discrete Cosine Transform (DCT)?

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It ensures perfect reconstruction of the image

It reduces computational complexity significantly

It provides better color fidelity than other transforms

It is more efficient in handling high-frequency components

Question 2: In image processing, what is the significance of using the Laplacian of Gaussian (LoG) operator?

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It smooths the image and reduces noise

It removes low-frequency noise from an image

It detects edges by highlighting regions with rapid intensity changes

It enhances the color saturation of the image

Question 3: In data filtering, what is the primary issue caused by the Gibbs phenomenon when using a truncated Fourier series?

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It reduces the overall frequency bandwidth

It causes overshoot and ringing near sharp transitions in the signal

It increases the computational load significantly

It introduces high-frequency artifacts that cannot be removed

Question 4: What is the significance of the Nyquist rate in digital audio signal processing?

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It defines the maximum frequency for audio compression

It determines the sampling frequency required to avoid aliasing

It affects the time resolution of the audio signal

It is the minimum frequency required to reconstruct the original signal

Question 5: What is the advantage of using a Butterworth filter in signal processing?

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Minimal group delay

Maximum flatness in the passband

Sharp transition between passband and stopband

Optimal performance for non-linear systems

Question 6: What does the term "convolution" mean in the context of image processing?

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The mathematical operation used to analyze an image's frequency components

The process of applying a filter or kernel to an image

The combination of two signals to produce a third signal

The transformation of an image from spatial to frequency domain