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MCQs: Generally, the convolution process associated with the Laplace Transform in time domain results into________
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MCQs: An impulse response of the system at initially rest condition is basically a response to its input & hence also regarded as,
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MCQs: When is the system said to be causal as well as stable in accordance to pole/zero of ROC specified by system transfer function?
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MCQs: Correlogram is a graph of ______
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MCQs: Which theorem states that the total average power of a periodic signal is equal to the sum of average powers of the individual fourier coefficients?
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MCQs: According to Rayleigh's theorem, it becomes possible to determine the energy of a signal by________
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MCQs: What does the spectral density function of any signal specify?
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MCQs: Which among the below mentioned transform pairs is/are formed between the auto-correlation function and the energy spectral density, in accordance to the property of Energy Spectral Density (ESD)?
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MCQs: The ESD of a real valued energy signal is always _________
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MCQs: Which among the below mentioned assertions is /are correct?
a. Greater the value of correlation function, higher is the similarity level between two signals
b. Greater the value of correlation function, lower is the similarity level between two signals
c. Lesser the value of correlation function, higher is the similarity level between two signals
d. Lesser the value of correlation function, lower is the similarity level between two signals
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MCQs: Which function has a provision of determining the similarity between the signal and its delayed version?
Category: Electronic Engineering Questions, Published by: T-Code Scripts
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MCQs: Which property is exhibited by the auto-correlation function of a complex valued signal?
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MCQs: Where does the maximum value of auto-correlation function of a power signal occur?
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MCQs: What does the set comprising all possible outcomes of an experiment known as?
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MCQs: What does an each outcome in the sample space regarded as?
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MCQs: Mutually Exclusive events ________
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MCQs: What would be the probability of an event 'G' if G denotes its complement, according to the axioms of probability?
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MCQs: What would happen if the two events are statistically independent?
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MCQs: What would be the joint probability of statistically independent events that occur simultaneously?
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MCQs: Consider the assertions given below
A : CDF is a monotonously increasing function
B : PDF is a derivative of CDF & is always positive
Which among them is correct according to the properties of PDF?
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