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What is the smallest amount of energy that can be emitted or absorbed as electromagnetic radiation?
The smallest amount of energy that can be emitted or absorbed as electromagnetic radiation is a photon, which behaves like a particle carrying discrete energy. This minimum amount of energy is determined by the frequency of the radiation, according to Planck's equation E=hf, where E is energy, h is Planck's constant, and f is frequency.
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 is a unit or quantum of light a particle of electromagnetic radiation that has zero res mass and carries a quantum of energy?
A unit or quantum of light is called a photon. Photons are the basic units of electromagnetic radiation, have zero rest mass, and carry a discrete amount of energy that is proportional to their frequency.
Why was bohr not quite happy with rotherford's model?
In the "classical" model of an atom, with electrons orbiting the nucleus like planets around a star, electrons are travelling in a circle. Electrodynamics show that a charged particle doing so should radiate energy, thus resulting in a smaller radius. As the radius shrunk, the electron should continue to radiate energy until it had lost all its energy and was back into the nucleus -- and do all this in about 10^-11 seconds!! In addition, the frequency of the light given off should be equal to the frequency of the electron's orbit. As the energy of the electron becomes smaller and the radius shrank, the orbital frequency should get progressively larger. As such, the emission should a range of frequencies, starting low and then getting higher -- much like the frequency produced by a trombone as the player moves the slide while blowing the whole time. However, emission spectra are, instead, quite discrete in their frequencies. To solve these problems, Bohr (rather arbitrarily) proposed that electrons did, indeed, orbit the nucleus in circles, but that orbits of certain radii resulted in no radiation be given off. Make this assumption, and the frequencies of hydrogen emission spectra are almost trivial to compute.
Why dft is used in asic?
Discrete Fourier Transform (DFT) is often used in ASIC (Application-Specific Integrated Circuit) designs for signal processing tasks like filtering and frequency analysis. DFT can efficiently convert signals between time and frequency domains, enabling ASICs to perform tasks such as audio processing, image processing, and communication. It allows ASICs to process data quickly and accurately for various applications.
Why is the frequency spectrum of a discrete signal repetitions of the spectrum of the analog signal?
The analog signal is converted to discrete signal. Even after the conversion, the frequency of the actual signal still remains the same. If the frequency of the discrete signal is different from the analog signal, the reconstructed signal would be different again. This is not what we expect. So base spectrum for similar signals have same frequencies, whether they are discrete or analog. Why do the repetitions occur? The original analog signal is multiplied with a dirac pattern. The base frequency is then shifted to the places, where diracs are available. So long the diracs keep repeating, the base frequency do repeats. Hope you are convinced with my answer
Is frequency discrete in nature?
No, it is not.
Is digital signal frequency 0 Hz?
No, a digital signal does not have a specific frequency like an analog signal. Digital signals are represented by discrete values at specific time intervals and are typically transmitted using square waves with a fundamental frequency determined by the data rate.
Is the frequency of a musical note played on a violin analog or discrete?
discrete
What is the difference between stated and real class limits?
Real Class Limits are the class intervals of a frequency distribution when stated as in continuous categories. ie. 18.5-19.5, 20.7-34.7 Stated Class Limits are the class intervals of a frequency distribution when stated as discrete categories. ie. 19-21, 23-25
What is the difference between a frequency histogram and a relative frequency histogram?
Both divide the data into discrete groups or intervals. The frequency histogram gives the number of times the data occur in the particular group or interval, while the relative frequency histogram gives the fraction of times the data occur in the particular group or interval.
What are the kinds of cumulative frequency?
The two main kinds are discrete and continuous.
Is the frequency domain plot of an alarm system discreet or contineous?
discrete because the signal of an alarm is periodic.
What does a baby of a mosquito a eat?
Discrete fourier coefficients are the samples of fourier transform of the non-pdc waveform, at pdc intervals
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.
Why discrete Fourier transform is used in digital signal processing?
The Discrete Fourier Transform (DFT) is used in digital signal processing to analyze the frequency content of discrete signals. It converts time-domain signals into their frequency-domain representations, enabling the identification of dominant frequencies, filtering, and spectral analysis. By efficiently transforming data, the DFT facilitates various applications, including audio and image processing, communication systems, and data compression. Its computational efficiency is further enhanced by the Fast Fourier Transform (FFT) algorithm, making it practical for real-time processing tasks.
Is discrete signal continuous?
To answer this properly more context is needed but frequency is in most contexts continuous.
