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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)
What else can I help you with?
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.
Does analog signals consist of individual electrical pulses?
No, analog signals do not consist of individual electrical pulses; instead, they represent a continuous range of values. Analog signals vary smoothly over time, reflecting changes in voltage, current, or other physical quantities. This continuous nature allows them to capture nuances in information, unlike digital signals, which are composed of discrete pulses representing binary values.
Difference between discrete and digital signal?
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 continuous operating signal?
A continuous operating signal refers to a signal that maintains a consistent and uninterrupted flow of information over time. It usually represents data that varies smoothly rather than in discrete steps, such as an analog signal in electronics. Continuous signals can be used in various applications, including communications and control systems, where constant monitoring and adjustment are crucial. These signals are typically characterized by their ability to convey real-time information without gaps or interruptions.
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 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.
Is minute a discrete or continuous variable?
It is discrete even though time itself is continuous.
Is date a discrete or continuous variable?
Date is a discrete variable whereas date/time would be continuous.
What is a continuous and discrete data set?
time to learn a song for 4 hours, is this discrete or continuous data set?
Linear discrete time signal?
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
Is time discrete or continuous?
Continuous. Discrete variables are only expressed as integer values, whereas continuous is, as its name suggests, continuous.
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)
What are the examples of discrete time signals?
Discrete time signals are sequences of values or samples that are defined at distinct intervals. Examples include digital audio signals, where sound is sampled at regular time intervals, and digital images, which consist of pixel values sampled at specific grid points. Other examples include time-series data like stock prices recorded at hourly intervals or temperature readings taken daily. Each of these signals is represented as a series of discrete points rather than a continuous waveform.
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 the difference between Discrete-time Fourier transform and Discrete Fourier transform?
The Discrete Fourier Transform (DFT) is a specific mathematical algorithm used to compute the frequency spectrum of a finite sequence of discrete samples. In contrast, the Discrete-time Fourier Transform (DTFT) represents a continuous function of frequency for a discrete-time signal, allowing for the analysis of signals in the frequency domain over an infinite range. Essentially, the DFT is a sampled version of the DTFT, applied to a finite number of samples, whereas the DTFT provides a broader, continuous frequency representation of the signal.
Is time to learn a song variable discrete or continuous?
continuos
Is the exact time it takes to evaluate 27 72 discrete or continuous?
it is a continuous random variable
