Signals and Systems: Time Scaling Operations Quiz

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18 Questions

If a > 1 the signal y(t) is a ______ version of x(t)

compressed

If 0 < a < 1 the signal y(t) is an ______ version of x(t)

expanded

Effect of time scaling on (a) DT signal x[n] and (b) version of x[n] ______ by a factor of 2

compressed

Some values of the original signal ______ as a result of the compression

lost

Y(t) is the signal represents a ______ version of x(t) about t = 0

reflected

Even signal; x(-t) = x(t) an even signal is same as ______ version

reflected

Continuous-Time Signals are functions whose amplitude or value varies continuously with ______

time

Discrete-Time Signals are functions that are defined or/and present only at discrete instants of ______

time

Compression in signal processing involves reducing the size of the signal representation to save on ______ or transmission bandwidth

storage

In signal processing, compression techniques aim to remove redundant or irrelevant information while preserving the essential ______

data

Efficient compression algorithms can significantly reduce the amount of ______ needed to store or transmit a signal

space

Compression is essential in various applications such as audio and video streaming to optimize storage and ______ efficiency

bandwidth

The symbol n denotes time for ______ time signal

discrete

Ts denotes ______ period

sampling

A continuous-time signal x(t) is said to be an ______ signal if x(−t) = x(t) for all t symmetric about the vertical axis

even

A continuous-time signal x(t) is said to be an ______ signal if x(−t) = − x(t) for all t antisymmetric about the vertical axis

odd

A periodic signal x[n] is a function of time that satisfies the condition x[n] = x[n+N] for all N where N is a positive constant. x[n] is a ______ signal

periodic

A deterministic signal is a signal that has no uncertainty with respect to its value at any time. The deterministic signal can be modeled as a completely specified function of ______

time

Test your knowledge on the basic operations of signals, focusing on time scaling, reflection, folding, and time shifting. Learn about the effects of time scaling on signals when multiplied by a real positive constant in continuous-time systems.

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