LINEAR DISCRETE SYSTEM ANALYSIS
1. A polynomial P(s) is said to be hurwitz _ _ _ _ _ _ _ _ _ _ _ _ _ conditions are satisfied
2. Network function H(s) is defined as the ratio of
3. For a transfer function H(s) = P(s)/Q(s) where P(s) & Q(s) are polynomials of s
the degree of
4. Which the following statement regarding positive real function F(s)
5. The roots of H(s) have real parts, which are to be
6.Whether the network h(f) could be realized as a physical passive network leading to the stydy of
what is known as
7. If all the coefficients of the continued fraction expansion are positive the given polynomial is
8. Imaginary poles and zeros must be
9. Let N(s) = R where R is a positive real , is positive real by defination . If N(s) is an _ _ _ _ _ _ _ _
_ _ _ function , then R is resistance ]
10. All driving point immittances of passive networks are
11.N(s) is positive real. If N(s) is an impedance function, then the corresponding element is a
12. Let N(s) = Ls, where L is a positive realnumber, is positive real by definition. If N(s) is _ _ _ _ _ _
_ _ _ _ function, then L is an
13. If N(s) is positive real function, then its 1/N(s) is also _ _ _ _ _ _ _ _ _ _ _ _ and Sum of N(s) and positive real function
14. Given polynomial is hurwitz. If all the co- efficiens of continued fraction expansion
15. If the ratio of the even and odd parts of a polynomial is positive real function then it is
16. If a network is a stabe, then the response is also bounded for
17. Analysis determines the response for a given
18. H(s) should not have multiple poles is lies in
19. The implse response of the network must be zero for
20. Acquiring the values of a signal at discrete points in time is known as
21. The reciprocal of sampling interval is called
22. Aliasing effect occurs when sampling rate is
23. For complete recovery of a signal from its sampled region the minimum value of sampling rate fs
is equal to
24. The Nyquist sampling rate for signal f(t) = 10 cos 100 πt is _ _ _ _ _ _ _ _ _ (samples/sec)
25. The auto correlations function is maximum at
26. Sampling interval Ts = is called
27. A singnal, whose fourier spectrum ranishes beyond certain frequency is known as
28. A band limited signal of finite energy, which has no frequency components higher than `W' hertz,
may be completely recovered from knowledge of its samples taken at the rate of
29. The reconstruction filter is low pass with a pass band extending from
30. As τ value increases, the overlap area of functions
31. The sampled signal s(t) consits of a sequence of
32. Prior to sampling, a low - pass per alias filter is used to attenuate signals of.
33. Auto correlations functions is maximum at
34. Which the following methods decompose the driving point immittance Z(s)
35. If has zero at S = ∞ then R =
36. Removal of pole at `∞' corresponds to removal of _ _ _ _ _ _ _ _ _ from network
37. If has constant at S = ∞ , first element is
38. If has pole at S = 0, last elements is
38. If pole is at S = 0, impedence ( series element) is
39. If pole is at S = ∞ , admittance is
40. If Z(s) has a pole at infinity ( S = ∞) then N - M = _ _ _ _ _ _ _ _ _ _ _ _
41. Critical frequencies at S = 0 and S = ∞ are known as
42. If first Foster form Z (s) has pole at S = 0 _ _ _ _ _ _ _ _ _ _ is present
43. For RC network at S =jw = ∞ all capacitors are
44. One important requirement of `` breaking up" process is
45. If Z has constant at S = 0, last element is
46. The impedance function may be of form with no poles or zero's as imaginary axis and with real
part of Z(jw) = 0 at one or more frequencies is known as
47. In minimum function which part of impedence function vanishes
48. If first foster form Z has pole at S = ∞ _ _ _ _ _ _ _ _ is present
49.State equations represented in the ----------
50.Laplace Transform of impulse signal---------------------
LINEAR DISCRETE SYSTEM ANALYSIS KEY
1. P(s) is real when s is real and the roots of P(s) have real parts, which are to be zero or
negative.
2 .response to the excitation
3.P(s) is always greater then that of Q(s)
4.F(s) is real when s is real
5.zero or negative
6.realizability
7.Hurwitz
8.simple
9.impedance
10.positive real function
11.1/k Farads
12. impedance
13.positive real function
14. positive
15.Hurwitz
16.bounded excitation
17.excitation of a particular network
18.iw axis
19. t < 0
20. sampling
21.sampling rate
22.lower than Nyquist rate
23.fm
24.1000
25.τ = 0
26.Nyquist rate
27.Band limited signal
28.W samples per second
29.0 to ω
30.decreases
31. positive pulses and negative pulses
32.high frequency
33.τ = 0
34.removal of pole at infinity, removal of a constant and removal of conjugate imaginary poles
35.zero
36.inductor
37.R1
38.capacitance
39.capacitance
40.one
41.external critical frequencies
42.C0
43. short circuited
44. Zi(s) must be positive real function
45.R
46. minimum positive function
47.L
48.real part
49.First order differential equations
50.1
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