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What else can I help you with?
What are the advantages in using a rule for a function rather than listing function values in a table?
If the domain is infinite, it is not possible to list the function.
What are the advantages of arithmetic mean?
It is easy to use in further analysis calculation can be done easily using arithmetic mean is unique value for each data set
What are the advantages micrometer?
"What is the advantages of using micrometer?
What are the advantages of using mode?
ADVANTAGESIt is easy to understand and simple to calculate.It is not affected by extreme large or small values.It can be located only by inspection in ungrouped data and discrete frequency distribution.It can be useful for qualitative data.It can be computed in open-end frequency table.It can be located graphically.
How do you plot frequency spectrum using fft function in MATLAB?
plot(abs(fft(vectorname)))the FFT function returns a complex vector thus when you plot it, you get a complex graph. If you plot the absolute value of the FFT array, you will get the magnitude of the FFT.
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
How can a composite signal be decomposed into its individual frequencies?
Fourier analysis Frequency-domain graphs
Advantages of using the analysis of variance?
Explian DOE using Variance Analysis
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.
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 Spatial domain to the frequency domain transformation?
Spatial domain to frequency domain transformation refers to the process of converting an image from its spatial representation (pixels) to its frequency representation (amplitude and phase of different frequencies). This transformation is commonly done using techniques such as Fourier transform, which helps in analyzing an image in terms of its frequency content rather than spatial information.
Technique by which test cases are generated using the extremes of the input domain?
Boundary Value Analysis
Why does the frequency domain better than the spatial domain?
we can use frequency domain for finding phase of the input signal and magnitud of the instrument. we can use frequency domain for finding phase of the input signal and magnitud of the instrument.
Why fourier series is used for frequency domain?
The fourier series relates the waveform of a periodic signal, in the time-domain, to its component sine/cosine frequency components in the frequency-domain. You can represent any periodic waverform as the infinite sum of sine waves. For instance, a square wave is the infinite sum of k * sin(k theta) / k, for all odd k, 1 to infinity. Using a Fourier Transformation, you take take a signal, convert it from time-domain to frequency-domain, apply some filtering or shifting, and convert it back to time-domain. Sometimes, this is easier than building an analog filter, even given that you need a digital signal processor to do it.
What are the advantages in using a rule for a function rather than listing function values in a table?
If the domain is infinite, it is not possible to list the function.
What are the main advantages for the highway agency of using a PEST analysis?
the advantages main advantages for highway agency by using PEST are: - it helps highway agency to decide on policy and services - it helps to provide good public service and value for taxpayers money
What are the advantages and disadvantages of sampling a signal?
Sampling a signal is a process where some thing, usually an analog signal, is sampled at a particular frequency, and analysis and processing is performed on that sample stream. The advantages are that conversion between the time domain and the frequency domain using Fourier analysis is a very powerful technique that allows you to do a lot of different things, such as compression and filtering, without needing advanced electronics. You can also transmit the digital samples from one point to another, using digital electronics, rather than analog electronics. Disadvantages are that sampling, by its very nature, introduces distortion, because you have limited resolution on the ADC and you have limited frequency of sample rate. Often, however, you can do very well, so long as you understand the implications of sampling. One of them is called Nyquist Aliasing. That is where the sample rate is less than the Nyquist frequency of one half of the highest harmonic of the signal. This is a very noticeable distortion, perceived as a buzzing in inverse frequency terms, which must be properly filtered. In fact, if you look at a traditional audio CD, the sample rate is 44.1 KHz, making the Nyquist frequency 22.05 Khz. That is commonly above the range of human hearing, but you still must account for it, otherwise, the distortion could damage the equipment or degrade the signal quality.
