Preview Questions Signal Processing Engineer | Role Specific Skill

Question 1: When using a Hough Transform for line detection, what is the primary advantage?

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It is computationally less expensive than edge-based methods

It performs better on very high-resolution images

It automatically adjusts to detect circles in the image

It is more robust to noisy images and can detect lines at any angle

Question 2: Which transform technique is most effective for separating different frequency bands in audio signal processing?

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Fast Fourier Transform (FFT)

Wavelet Transform

Short-Time Fourier Transform (STFT)

Z-Transform

Question 3: What is the purpose of the Fourier Transform in image processing?

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To extract the edge information from an image

To analyze the frequency components of an image

To convert an image into its pixel-based representation

To enhance the color contrast in an image

Question 4: In the context of speech enhancement, what is the primary challenge when applying Wiener filtering?

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Real-time processing requirements

Estimation of noise power

Distortion of the speech signal

Computational cost

Question 5: How do you reduce aliasing when performing digital signal filtering?

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By reducing the filter's bandwidth

By increasing the sampling rate

By applying a high-pass filter to the signal

By using a low-pass filter before sampling

Question 6: Which algorithm is used in template matching?

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Sum of Absolute Differences (SAD)

Gradient Descent

Fast Fourier Transform

Dijkstra's Algorithm