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Time domain basically means plotting a curve of amplitude over thr time axis.
A given function or signal can be converted between the time and frequency domains with a pair of mathematical operators called a transform. An example is the Fourier transform, which decomposes a function into the sum of a (potentially infinite) number of sine wave frequency components. The 'spectrum' of frequency components is the frequency domain representation of the signal. The inverse Fourier transform converts the frequency domain function back to a time function.
What else can I help you with?
What is the real time application for fourier series in signals?
Fourier series analysis is useful in signal processing as, by conversion from one domain to the other, you can apply filters to a signal using software, instead of hardware. As an example, you can build a low pass filter by converting to frequency domain, chopping off the high frequency components, and then back converting to time domain. The sky is the limit in terms of what you can do with fourier series analysis.
What is meant by transient analysis?
it is the response of a system with respect to the input as a function of time
What is frequency domain counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What is the transfer function of ac motor?
The transfer function of an AC motor describes the relationship between its input voltage and output speed (or torque) in the Laplace domain. It typically takes the form ( G(s) = \frac{K}{s(Ts + 1)} ), where ( K ) is the system gain and ( T ) is the time constant related to the motor's dynamics. This function captures the motor's response to changes in input and can be used for control system design and analysis. The specific parameters depend on the type of AC motor (e.g., induction or synchronous).
Why sinusoidal signal is called basic signal?
The sinusoidal signal is called a basic signal because, by Fourier Analysis, you can not further reduce it. It is one sine wave of one frequency of one amplitude of one phase. It has no harmonics. If you converted it from time domain to frequency domain you would only get one line, at the fundamental frequency.
How does a frequency domain plot differ from a time domain plot?
IN time domain analysis time is the independent variable. when a system is given an excitation input is a respose output.this response varies with the time is called time response. komal
Why Laplace transform is used in analysis of control system why not Fourier?
it is used for linear time invariant systems
What is the difference between time domain concept and frequency domain concept?
Time domain refers to analyzing signals in the time dimension, showing how the signal changes over time. Frequency domain, on the other hand, focuses on analyzing signals in terms of their frequency content, representing how different frequencies contribute to the overall signal. Time domain analysis is useful for understanding signal behavior over time, while frequency domain analysis helps identify specific frequency components in a signal.
What is the need of conversion from time to frequency domain?
Design of filtering and control systems is usually easier in the frequency domain than in the time domain.
What is the physical meaning of laplace transform?
The Laplace transform is a mathematical technique that converts a time-domain function, often representing a physical system's behavior, into a complex frequency-domain representation. This transformation simplifies the analysis of linear systems, particularly in engineering and physics, by turning differential equations into algebraic equations. Physically, it allows for the study of system dynamics, stability, and response to inputs in a more manageable form, facilitating the design and analysis of control systems and signal processing.
What has the author Sommai Vongsuri written?
Sommai Vongsuri has written: 'A method of separation of exponentials and its relationship to time domain synthesis of a finite lumped-parameter relaxation system' -- subject(s): System analysis
Practical example for Time-invariant system?
System whose domain is not in time can be a time invariant system. Ex: taking photo to a fixed object. here domain is not in time so photo wont change with time
What are advantages you have of frequency domain analysis over time analysis?
Frequency Analysis is much easier. Some equations can't be solved in time domain while they can be solved easily in frequency domain. When moving to frequency domain you change the differential equation into algebric equation. Also, in frequency domain it is easy to apply filters and compute their specifications. In telecommunications, using multiple frequencies enables more than one user to use the service at the same time if having different frequency, this enables less delay for the signal. Also, it would be easier, when using frequency domain- to give each user, or each standard (GSM, Satellite ...) it's own frequency range without interfering. This can't be done in time domain
What has the author Y Jane Jiang written?
Y. Jane Jiang has written: 'Analysis of time domain reflectometry data from LTPP seasonal monitoring program test sections' -- subject(s): Time-domain reflectometry
Is the phasor a time-domain or frequency-domain quantiy?
It is a frequency-domain quantity. In Basic Engineering Circuit Analysis by Irwin, the time domain is written as A*cos(wt+/-THETA) and the frequency domain is written as A*phasor(+/-THETA).A series of phasor measurements, taken at regular intervals over time, can sometimes be useful when studying systems subject to variations in frequency. The electric power system is one example. The power grid nominally operates at 50Hz (or 60Hz), but the actual frequency is constantly changing around this nominal operating point. In this application, each individual phasor measurement represents a frequency domain quantity but a time series of phasor measurements is analyzed using time-domain techniques. (http://en.wikipedia.org/wiki/Synchrophasor)
What is the real time application for fourier series in signals?
Fourier series analysis is useful in signal processing as, by conversion from one domain to the other, you can apply filters to a signal using software, instead of hardware. As an example, you can build a low pass filter by converting to frequency domain, chopping off the high frequency components, and then back converting to time domain. The sky is the limit in terms of what you can do with fourier series analysis.
What is Discrete control system?
A discrete control system is a type of control system that operates on discrete-time signals, meaning it processes data at distinct intervals rather than continuously. In such systems, the input and output signals are sampled at specific time points, allowing for analysis and control using digital methods. Discrete control systems are commonly used in digital computers and embedded systems, where algorithms can be implemented to manage and optimize system performance effectively. Examples include digital PID controllers and various automation systems in industrial applications.
