DSP QUIZ 1.5

What is the main application of DFT in signal processing?

• Image compression
• Data Encryption
• Linear Filtering
• None of the above

How does DFT help in linear filtering of signals?

• By converting time domain signals to frequency domain signals
• By converting time domain signals to time domain signals
• By converting frequency domain signals to time domain signals
• None of the above

What is the disadvantage of filtering long data sequences using traditional time domain methods?

• It is time-consuming
• It is resource-intensive
• It is both time-consuming and resource-intensive
• None of the above

What is the advantage of filtering long data sequences using DFT?

• It is efficient in terms of time and resource utilization
• It is inefficient in terms of time and resource utilization
• It is efficient in terms of time utilization but inefficient in terms of resource utilization
• It is efficient in terms of resource utilization but inefficient in terms of time utilization

How does the length of the data sequence affect the implementation of linear filtering using DFT?

• The length of the data sequence has no effect on the implementation of linear filtering using DFT
• The longer the data sequence, the more efficient the implementation of linear filtering using DFT
• The shorter the data sequence, the more efficient the implementation of linear filtering using DFT
• The longer the data sequence, the less efficient the implementation of linear filtering using DFT

What is the relationship between the length of the data sequence and the computation time in linear filtering using DFT?

• The length of the data sequence has no effect on the computation time in linear filtering using DFT
• The longer the data sequence, the less the computation time in linear filtering using DFT
• The shorter the data sequence, the less the computation time in linear filtering using DFT
• The longer the data sequence, the more the computation time in linear filtering using DFT

A_________ is a technique used to analyze and manipulate signals in the frequency domain.

• DFT
• FFT
• Linear Convolution
• Spectral Analysis

In linear filtering using DFT, what is the relationship between the DFT of the input sequence and the DFT of the output sequence?

• The DFT of the output sequence is equal to the product of the DFT of the input sequence and the DFT of the filter impulse response.
• The DFT of the output sequence is equal to the sum of the DFT of the input sequence and the DFT of the filter impulse response.
• The DFT of the output sequence is equal to the product of the inverse of the DFT of the input sequence and the DFT of the filter impulse response.
• The DFT of the output sequence is equal to the sum of the inverse of the DFT of the input sequence and the DFT of the filter impulse response.

How does the length of the data sequence affect the performance of linear filtering using DFT?

• The longer the data sequence, the better the performance of linear filtering using DFT.
• The shorter the data sequence, the better the performance of linear filtering using DFT.
• The length of the data sequence has no effect on the performance of linear filtering using DFT.
• None of the above.