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A periodic signal is a signal that repeats itself over a fixed period of time such as a sinusoidal, square, triangular or sawtooth waveform. So, basically they are used in almost every application of electrical engineering. These periodic waveforms, are also responsible for driving oscillators which is very important in computer applications where a CPU may need to operate according to the clock speed that is determined by the oscillator.
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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.
Please fill this blank Almost all the digital signals are Options1 Periodic Option 2 A-periodic?
Signals are aperiodic because they are not repetitive.
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.
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 FDM is for analog signals and TDM is for digital signals?
FDM stnds for frequency division multiplexing and it is used only in case of analog signals because analog signals are continuous in nature and the signal have frequency. TDM-stands for time division multiplexing and it is used only in case of digital signals because digital signals are discrete in nature and are in the form of 0 and 1s. and are time dependent.
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.
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.
Define energy and power signal?
An energy signal has finite energy over a given time period, while a power signal has finite average power over the same time period. Energy signals are typically used in energy storage systems, while power signals are used to describe the rate of energy transfer.
Please fill this blank Almost all the digital signals are Options1 Periodic Option 2 A-periodic?
Signals are aperiodic because they are not repetitive.
Are transmitted cellphone signals periodic?
yes
What are examples of periodic signals?
Examples of the periodic signals include exponential and sinusoidal signal.
What is a stellar source of periodic radio signals called?
A stellar source of periodic radio signals is called quasar. This runs off of radio waves.
What are the differences between the Fourier and Laplace transforms and how do they each contribute to the analysis of signals and systems?
The Fourier transform is used to analyze signals in the frequency domain, showing the signal's frequency components. It is mainly used for periodic signals. The Laplace transform, on the other hand, is used for analyzing signals in the complex frequency domain, showing both frequency and decay rates. It is more versatile and can handle non-periodic signals and systems with memory. Both transforms are essential tools in signal and system analysis, providing different perspectives and insights into the behavior of signals and systems.
What are the differences between the Laplace and Fourier transforms in signal processing and which one is more suitable for analyzing certain types of signals?
The Laplace transform is used for analyzing continuous-time signals, while the Fourier transform is used for analyzing periodic signals. The Laplace transform is more suitable for signals with exponential growth or decay, while the Fourier transform is better for signals with periodic components. The choice between the two depends on the specific characteristics of the signal being analyzed.
What are the key differences between the Fourier transform and the Laplace transform?
The key difference between the Fourier transform and the Laplace transform is the domain in which they operate. The Fourier transform is used for signals that are periodic and have a frequency domain representation, while the Laplace transform is used for signals that are non-periodic and have a complex frequency domain representation. Additionally, the Fourier transform is limited to signals that are absolutely integrable, while the Laplace transform can handle signals that grow exponentially.
What signals are likely to be aperiodic?
Signals that are likely to be aperiodic include impulse functions, noise signals, and random signals. These signals do not exhibit a repeated or periodic pattern over time.
Difference between linear and circular convolution?
circular convolution is used for periodic and finite signals while linear convolution is used for aperiodic and infinite signals. In linear convolution we convolved one signal with another signal where as in circular convolution the same convolution is done but in circular pattern ,depending upon the samples of the signal
