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What is the difference between periodic and aperiodic signals?
A signal which repeats itself after a specific interval of time is called periodic signal. A signal which does not repeat itself after a specific interval of time is called aperiodic signal.A signals that repeats its pattern over a period is called periodic signal,A signal that does not repeats its pattern over a period is called aperiodic signal or non periodic.Both the Analog and Digital can be periodic or aperiodic. but in data communication periodic analog sigals and aperiodic digital signals are used.
What are the characteristics of a periodical?
A periodic signal has two major characteristics: frequency and amplitude. Frequency is the number of times the periodic signal occurs in a set time, and the amplitude refers to how strong the signal is.
Is the frequency domain plot of an alarm system discreet or contineous?
discrete because the signal of an alarm is periodic.
Why mostly periodic analog and non-periodic digital signal used in communication?
yes and no
Is the signal with zero frequency a periodic signal?
No, because for a signal to become periodic it must repeat itself in regular intervals of its time period.A 0 Hz signal has a time period equal to infinity , so technically the signal can never complete a full cycle by reaching infinity let alone repeat itself, since the signal is unable to repeat itself in regular intervals its not periodic.
Is DC signal is periodic?
Yes DC is periodic with zero frequency........and undefined fundamental time period To........
Is the alarm system is a periodic or non periodic signal?
An alarm system typically generates a non-periodic signal, as it produces sounds that are irregular and vary in frequency and duration based on the situation. Unlike periodic signals, which have a consistent and repeating pattern, alarm signals are designed to alert and can change based on the type of alarm being triggered. Thus, the signal does not follow a regular time interval.
Why we use periodic analog and non periodic digital signal in communication?
In data communication computer use periodic analog signal because it Need Less Bandwidth. So, by using Periodic Analog Signals it is easy to select the Medium through Which data is travelled otherwise it is Much Difficult (aprox. Impossible ) .
Why you need spectrum of periodic signal?
The spectrum of a periodic signal provides information about the frequency content of the signal, which is crucial for analyzing and understanding its behavior. By decomposing the signal into its constituent frequencies, one can identify specific frequency components present, their magnitudes, and their phase relationships, aiding in tasks like filtering, modulation, and signal processing. It allows for a comprehensive understanding of the signal's characteristics in the frequency domain.
Can damping signal be power or energy signal?
A damping signal can be classified as either a power signal or an energy signal depending on its characteristics. An energy signal has finite energy and is typically non-periodic, while a power signal has finite power and is usually periodic. If the damping is such that the signal's total energy remains finite, it can be considered an energy signal; if it oscillates indefinitely while its power remains finite, it may be classified as a power signal. Thus, the classification depends on the specific properties of the damping signal in question.
Electric signals whose values change smoothly over time are called?
Repetitive signals are referred to as periodic signals, while signals that constantly change are known as non-periodic signals. A still picture is analogous to a periodic signal, while a movie is analogous to a non-periodic signal. Synchronous and Asynchronous Signals.
In Fourier transformation and Fourier series which one follows periodic nature?
The Fourier series can be used to represent any periodic signal using a summation of sines and cosines of different frequencies and amplitudes. Since sines and cosines are periodic, they must form another periodic signal. Thus, the Fourier series is period in nature. The Fourier series is expanded then, to the complex plane, and can be applied to non-periodic signals. This gave rise to the Fourier transform, which represents a signal in the frequency-domain. See links.
