DSP QUIZ 1.6

What is the purpose of the overlap save method in DFT?

• To filter long data sequences
• To increase computation time
• To handle filter boundary conditions
• To avoid circular convolution

What is the purpose of the overlap add method in DFT?

• To handle filter boundary conditions
• To increase computation time
• To filter long data sequences
• To avoid circular convolution

Which method is more efficient in terms of computation time?

• Overlap save method
• Overlap add method
• Both are equally efficient
• It depends on the data being processed

What is the difference between the overlap save and overlap add methods in DFT?

• Overlap save method is faster and overlap add method is slower
• Overlap save method is slower and overlap add method is faster
• They are similar
• They are completely different

What is the effect of using the overlap save or overlap add method on the filtered data?

• It results in a loss of information
• It results in a reduction in computation time
• It does not affect the filtered data
• It depends on the data being processed

What is the purpose of using the overlap save and overlap add method in DFT?

• To reduce the computation time of DFT
• To reduce the memory requirements of DFT
• To reduce the number of samples required for processing
• To reduce the complexity of the DFT computation

How does the overlap save method work in DFT?

• By replacing overlapping samples with the output of the DFT computation
• By averaging the overlapping samples before processing them through the DFT
• By adding the overlapping samples and then processing the sum through the DFT
• By multiplying the overlapping samples before processing them through the DFT

What is the advantage of using the overlap add method in DFT?

• It allows for processing of very long data sequences without requiring a large amount of memory
• It reduces the computation time required for processing the DFT
• It improves the accuracy of the DFT computation
• It eliminates the need for overlap processing in the DFT computation