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Advantages of synchronous time division multiplexing and frequency division multiplexing in computer netwoeks?
http://zone.ni.com/devzone/cda/ph/p/id/269
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.
Why at low frequency current and power dissipation is high?
we know that frequency and time period are inversely proportional so as frequency decreases time period increases resulting in larger current flow thus increasing the dissipation.
Why FMCW radar has better range resolution than CW radar?
FM CW radar sweeps the Radio Frequency over time. Time in Radar equates to range and results in a high spectral density at every range. CW radar has a much lower spectral density and does not code range with frequency in the same way.
What is the frequency?
Frequency is defined as the number of cycles per minute. Ex: for a sine wave from " 0 to pi " is a cycle, and this repeats periodically within a interval of time. if frequency of a signal is 50Hz, then you can say that this signal repeats 50 time's a minute..
Ppt on advantages of frequency domain over time domain representation?
with the help of laplace transform the calculation part can be reduced in frequency domain .In time domain differential equations are used and solution is cumbersome.
Definition of Time domain and frequency domain in data communication?
time domain is respected to the time and frequency domain is respected to the frequency
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 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
Advantage of frequency domain processing over time domain processing?
the use of frequency domain will prove better results were the latency is not a problem. also u can do batch processing in frequency domain hence the overall efficiency of hardware can be effectively used.....
What is frequency domain counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What happen when fourier series is taken over asignal?
You use the fourier series to convert a signal from the time domain into the frequency domain, and vice versa. This is done by computing the sine waves that would be required to create the original signal. When done, you get a spectrogram, showing the intensity of each frequency (frequency domain) rather than the signal level over time (time domain).
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 frequency counterpart of convolution?
Convolution in the time domain is equivalent to multiplication in the frequency domain.
What is the Time domain analysis of control system?
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.
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)
Why there is a need to convert time domain signals to frequency domain signals?
to find their ESD and PSD
