FIR Least Squares Inverse Filters MCQ

Test your knowledge with important FIR Least Squares Inverse Filters MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more FIR Least Squares Inverse Filters MCQs at Bissoy

• What is the number of computations proportional to, in Levinson-Durbin algorithm?
  ক

  M

  খ

  M2

  গ

  M3

  ঘ

  M1/2
• What should be the desired response for an optimum wiener filter to be an approximate inverse filter?
  ক

  u(n)

  খ

  δ(n)

  গ

  u(-n)

  ঘ

  none of the mentioned
• The auto correlation of the sequence is required to minimize ε.
  ক

  True

  খ

  False
• Which of the following filters have a block diagram as shown in the figure?
  ক

  Pade wiener filter

  খ

  Pade FIR filter

  গ

  Least squares FIR filter

  ঘ

  Least squares wiener filter
• Which of the following criterion can be used to optimize the M+1 filter coefficients?
  ক

  Pade approximation method

  খ

  Least squares error criterion

  গ

  Least squares error criterion & Pade approximation method

  ঘ

  None of the mentioned
• What should be the length of the truncated filter?
  ক

  M

  খ

  M-1

  গ

  M+1

  ঘ

  Infinite
• Which of the following method is used to restrict the inverse filter to be FIR?
  ক

  Truncating hI(n)

  খ

  Expanding hI(n)

  গ

  Truncating HI(z)

  ঘ

  None of the mentioned
• It is not desirable to restrict the inverse filter to be FIR.
  ক

  True

  খ

  False
• If H(z) is the system function of an LTI system and HI(z) is the system function of the inverse LTI system, then which of the following is true?
  ক

  H(z)*HI(z)=1

  খ

  H(z)*HI(z)=δ(n)

  গ

  H(z).HI(z)=1

  ঘ

  H(z).HI(z)=δ(n)
• If h(n) is the impulse response of an LTI system and hI(n) is the impulse response of the inverse LTI system, then which of the following is true?
  ক

  h(n).hI(n)=1

  খ

  h(n).hI(n)=δ(n)

  গ

  h(n)*hI(n)=1

  ঘ

  h(n)*hI(n)=δ(n)
• Wiener filter is an FIR least-squares inverse filter.
  ক

  True

  খ

  False