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 autocorrelation 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?
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MCQs: Which property is exhibited by the autocorrelation function of a complex valued signal?
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MCQs: Where does the maximum value of autocorrelation 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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MCQs: The Joint Cumulative Density Function (CDF) _____
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MCQs: What is the value of an area under the conditional PDF?
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MCQs: When do the conditional density functions get converted into the marginally density functions?
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MCQs: Which among the below mentioned standard PDFs is/are applicable to discrete random variables?
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MCQs: A random variable belongs to the category of a uniform PDF only when ______
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MCQs: What would happen if the value of term [(mx) / (σ √2)] increases in the expression of Guassian CDF?
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