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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.
How does the Sampling rate affect frequency?
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
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.
Classification of Continuous Time signals and Discrete time signals?
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 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)
Difference between continuous and contiguous?
contiguous is "separated in space" and continuous is "separated in time"
What is sampling and holding time?
sampling time is the number of samples per second taken from a continuous signal to make it discrete and holding time is the time between two samples..
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.
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.
How does the Sampling rate affect frequency?
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
Difference between z transform and laplace transform?
The Laplace transform is used for analyzing continuous-time signals and systems, while the Z-transform is used for discrete-time signals and systems. The Laplace transform utilizes the complex s-plane, whereas the Z-transform operates in the complex z-plane. Essentially, the Laplace transform is suited for continuous signals and systems, while the Z-transform is more appropriate for discrete signals and systems.
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)
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
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 is the difference between analog and digital data in general?
Analogue data is data in a continuous stream that has an infinite range of values that change gradually. One example of analogue data is the sound of a person talking. We are capable of handling analogue data, yet computers require analogue data to be converted into digital data for processing. Digital data is discrete data that is used in computers to handle all sorts of digital media, including text, graphics and audio. It only exists in two forms - on and off. This is represented with two digits- 1s and 0s - in the binary format. Since digital data is discrete, files saved in this format can be copied perfectly with no degradation.
What is the signal type is characterized by continuous amplitudes in continuous time?
An analog signal is characterized by continuous amplitudes and continuous time.
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 does time sample mean?
The Sampling time means that at how much interval of time the continuous time signal is recorded For example If we have a simple square wave starting from 0 sec and ends at 5 sec with magnitude of 1 and let sampling time is Ts=0.5 second Then the no. of samples obtained will be after each 0.5 second. So total number of samples will be 10. Check it graphically and it will be more easy to understand. By Armaghan Zafar
