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Linear discrete time signal?
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
What is the difference between discrete fourier transform and fast fourier transform?
discrete fourier transformer uses digital signals whereas the fast fourier transform uses both analog and digital.
What is difference between discrete and digital?
THE TERM CONTINUOUS SIGNAL AND DISCRETE SIGNAL CLASSIFY THE SIGNALS ALONG THE TIME (i.e. horizontal axis) where as THE TERM ANALOG AND DIGITAL SIGNAL CLASSIFY THE SIGNAL ALONG THE AMPLITUDE (i.e vertical axis) we often confuse our-self with continuous time and analog signals. An analog signal is a signal which can take any amplitude in continuous range that is signal amplitude can take infinite values on the other hand a digital signal is one whose amplitude can take only finite numbers of values
What is a definition of discrete data?
data that can be counted, that does not show a change over time
Is the number of foggy days at an airport continuous or discrete?
Either fog occurs on a day, or it does not. Therefore it is a discrete value.
Can discrete signals have fractional periods?
NO . the period of a discrete time periodic signal cannot be in fractions. note that the fundamental period of a discrete time signal is given by. N=m(6.2831/Wo) Where Wo is the fundamental frequency and N and m are integers...
What is the difference between a continuous signal and a discrete signal?
A continuous signal is one that is measured over a time axis and has a value defined at every instance. The real world is continuous (ie. analog). A discrete signal is one that is defined at integers, and thus is undefined in between samples (digital is an example of a discrete signal, but discrete does not have to imply digital). Instead of a time axis, a discrete signal is gathered over a sampling axis. Discrete signals are usually denoted by x[k] or x[n], a continuous signal is x(t) for example. Laplace transforms are used for continuous analysis, Z-transforms are used for discrete analysis. Fourier transforms can be used for either.
The binomial and Poisson distributions are examples of discrete probability distributions?
discrete & continuous
What are the basic signals in signal and system?
analog (continuous) and discrete (discontinuous)
Whats the difference between analog and digital signal?
Analog signals are continuous while digital signals are discrete
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.
What is mean by bounded input and bounded output?
A signal is bounded if there is a finite value such that the signal magnitude never exceeds , that is for discrete-time signals, or for continuous-time signal (Source:Wikipedia)
Linear discrete time signal?
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
Where is the Discrete Fourier Transform used?
The Discrete Fourier Transform is used with digitized signals. This would be used if one was an engineer as they would use this to calculate measurements required.
What is Discrete time signal processing?
While processing a signal through a channel, it is preferred to sample it. It is because of the following reasonsAs we send only the samples, the gap between samples can be used to send another signal.Multiplexing is possibleSamples occupy less space than signalsTotal signal may not be required to recover dataAnd hence we use samples which are nothing but discrete time signals. hence, it is called discrete time signal processing.
What are 3 examples of discrete variation in humans?
From a purist point of view, there is probably only a few true examples of discrete variation in humans. However, we have the common sense practical real world ways to describe some things as discrete. A coma scale used, Glasgow, is discrete. Also, vision is expressed as discrete values. See attached related links. In addition, number of seizures is discrete along with pulse (heart) rate.
What are examples of periodic signals?
Examples of the periodic signals include exponential and sinusoidal signal.
