1. The type of systems which are characterized by input and the output quantized at certain levels are called as

a) analog

b) discrete

c) continuous

d) digital

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2. The type of systems which are characterized by input and the output capable of taking any value in a particular set of values are called as

a) analog

b) discrete

c) digital

d) continuous

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3. An example of a discrete set of information/system is

a) the trajectory of the Sun

b) data on a CD

c) universe time scale

d) movement of water through a pipe

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4. A system which is linear is said to obey the rules of

a) scaling

b) additivity

c) both scaling and additivity

d) homogeneity

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5. A time invariant system is a system whose output

a) increases with a delay in input

b) decreases with a delay in input

c) remains same with a delay in input

d) vanishes with a delay in input

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6. Should real time instruments like oscilloscopes be time invariant?

a) Yes

b) Sometimes

c) Never

d) They have no relation with time variance

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7. All real time systems concerned with the concept of causality are

a) non causal

b) causal

c) neither causal nor non causal

d) memoryless

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8. A system is said to be defined as non causal, when

a) the output at the present depends on the input at an earlier time

b) the output at the present does not depend on the factor of time at all

c) the output at the present depends on the input at the current time

d) the output at the present depends on the input at a time instant in the future

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9. When we take up design of systems, ideally how do we define the stability of a system?

a) A system is stable, if a bounded input gives a bounded output, for some values of the input

b) A system is unstable, if a bounded input gives a bounded output, for all values of the input

c) A system is stable, if a bounded input gives a bounded output, for all values of the input

d) A system is unstable, if a bounded input gives a bounded output, for some values of the input

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10. All causal systems must have the component of

a) memory

b) time invariance

c) stability

d) linearity

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