21. Which of the following factor could not determine the performance of algorithm?
a. Structural properties
b. Rate of convergence
c. Computational complexity
d. Numerical properties
Answer: (a).Structural properties

22. Rate of convergence is defined by __________ of algorithm.
a. Time span
b. Number of iterations
c. Accuracy
d. Complexity
Answer: (b).Number of iterations

23. Computational complexity is a measure of ________
a. Time
b. Number of iterations
c. Number of operations
d. Accuracy
Answer: (c).Number of operations

24. Choice of equalizer structure and its algorithm is not dependent on ________
a. Cost of computing platform
b. Power budget
c. Radio propagation characteristics
d. Statistical distribution of transmitted power
Answer: (d).Statistical distribution of transmitted power

25. Coherence time is dependent on the choice of the algorithm and corresponding rate of convergence.
a. True
b. False
c. May be True or False
d. Can't say
Answer: (a).True

26. Which of the following is not an algorithm for equalizer?
a. Zero forcing algorithm
b. Least mean square algorithm
c. Recursive least square algorithm
d. Mean square error algorithm
Answer: (d).Mean square error algorithm

27. Which of the following is a drawback of zero forcing algorithm?
a. Long training sequence
b. Amplification of noise
c. Not suitable for static channels
d. Non zero ISI
Answer: (b).Amplification of noise

28. Zero forcing algorithm performs well for wireless links.
a. True
b. False
c. May be True or False
d. Can't say
Answer: (b).False

29. LMS equalizer minimizes __________
a. Computational complexity
b. Cost
c. Mean square error
d. Power density of output signal
Answer: (c).Mean square error

30. For N symbol inputs, LMS algorithm requires ______ operations per iterations.
a. 2N
b. N+1
c. 2N+1
Answer: (c).2N+1

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