Preview Questions Signal Processing Engineer | Role Specific Skill

Question 1: When designing a filter for signal denoising, what is the primary trade-off when using a Gaussian filter?

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Computational complexity versus filter performance

Filter size versus memory usage

Frequency resolution versus time-domain resolution

Smoothing effect versus loss of signal detail

Question 2: In what type of signal processing algorithm is the Gram-Schmidt process most commonly used?

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Fourier Transform

Principal Component Analysis

Eigenvalue decomposition

Adaptive filtering

Question 3: In color image processing, what is the purpose of using the HSV (Hue, Saturation, Value) color space instead of RGB?

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It supports high dynamic range (HDR)

It reduces computational cost

It improves image quality

It is more intuitive for color manipulation and segmentation

Question 4: 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 5: What is the computational complexity of the FFT algorithm for an N-point sequence?

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O(N)

O(NlogN)

O(logN)

O(N2)

Question 6: What is the purpose of error-correcting codes in algorithm design for digital communication systems?

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To reduce signal distortion in noisy environments

To detect and correct errors that occur during data transmission

To increase the speed of data transmission

To encrypt sensitive data for security