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No, discrete signals cannot have fractional periods. In signal processing, a period is defined as the smallest positive integer ( N ) such that ( x[n+N] = x[n] ) for all integer values of ( n ). Since the signal is discrete, it can only repeat at integer multiples of the period. Fractional periods would imply a non-integer number of samples between repetitions, which is not possible in discrete signals.
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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.
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
How many types of electronic signals are?
There are primarily two types of electronic signals: analog and digital. Analog signals are continuous and can represent a range of values, often resembling the original waveform. In contrast, digital signals consist of discrete levels or values, typically represented as binary code (0s and 1s). Each type serves distinct purposes in various applications, including communication, audio, and video processing.
A discrete variable may assume fractional or decimal values but they must have distance between them?
True
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
How do you convulate two pulse signals?
To convolve two pulse signals, you can use the convolution integral if they are continuous signals or the discrete convolution sum for discrete signals. Essentially, you flip one of the signals, shift it across the other, multiply the overlapping values, and integrate (for continuous) or sum (for discrete) the results at each shift. This process combines the two signals, resulting in a new signal that represents the area of overlap at each point in time. The convolution operation captures how the shape of one signal affects the other.
Is the 'number of days' discrete data?
Yes, the 'number of days' is considered discrete data because it represents countable values. Discrete data consists of distinct, separate values, and in this case, days can only be whole numbers (e.g., 1, 2, 3) and cannot be fractional or decimal. Therefore, it falls into the category of discrete numerical data.
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.
Why there is need to study discrete time signals?
Studying discrete time signals is essential because they are fundamental to digital signal processing, which is widely used in modern technology, including telecommunications, audio and video processing, and data compression. Discrete signals allow for easier manipulation, storage, and transmission using digital systems, making them more efficient and reliable. Additionally, analyzing these signals aids in understanding sampling theory, filtering, and system stability, which are crucial for designing effective digital systems.
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.
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.
4. refers to waves continuously varying in strength andor quality refers to communications signals or information in a binary form?
Analog refers to waves continuously varying in strength and quality, while digital refers to communications signals or information in a binary form - with values represented as discrete symbols. Analog signals are continuous and can have an infinite number of values, while digital signals use discrete 0 and 1 values.
What are the two basic kinds of electronic signals?
The two basic kinds of electronic signals are analog signals and digital signals. Analog signals are continuous and can take on any value within a given range, while digital signals are discrete and represent information as a series of binary values (0s and 1s).
What are two forms of electrical signals?
Two forms of electrical signals are analog signals, which vary continuously over time, and digital signals, which represent data as discrete values. Analog signals can take on any value within a range, while digital signals have specific voltage levels to represent binary data.
