DSP-Bilinear transformation. Frequency transformation in the ana

What is the Bilinear Transformation method used for in the design of IIR filters from analog filters?

• To convert continuous-time signals to discrete-time signals
• To approximate derivatives of continuous-time signals
• To map the entire analog frequency range to the digital frequency range
• To preserve the magnitude response of the original analog filter

What is the main advantage of using the Bilinear Transformation method in designing IIR filters from analog filters?

• Preservation of frequency response
• Preservation of phase response
• Lower computational complexity
• Higher filter order

Which type of analog filter is most suitable for designing IIR filters using the Bilinear Transformation method?

• Low-pass filter
• High-pass filter
• Band-pass filter
• Band-stop filter

What is the key idea behind the Frequency Transformation in the analog domain for designing IIR filters?

• Transforming the analog frequency response
• Transforming the analog impulse response
• Transforming the analog phase response
• Transforming the analog group delay response

What is the effect of frequency scaling in the analog domain on the digital filter's cutoff frequency?

• Increase the cutoff frequency
• Decrease the cutoff frequency
• No change in the cutoff frequency
• It depends on the type of analog filter used

What is the effect of increasing the filter order on the performance of a digital filter designed using the Bilinear Transformation method?

• Improved frequency response
• Improved phase response
• Increased computational complexity
• Increased stability

Which transformation is used to achieve a "matched z-transform" in the Bilinear Transformation method?

• Frequency scaling
• Frequency warping
• Time scaling
• Time warping