Electron Spin:
An electron spin s = 1/2 is an intrinsic property of electrons. Electrons have intrinsic angular momentum characterized by quantum number 1/2. In the pattern of other quantized angular momenta, this gives total angular momentum
Spin "up" and "down" allows two electrons for each set of spatial quantum numbers.
The resulting fine structure which is observed corresponds to two possibilities for the z-component of the angular momentum.
This causes an energy splitting because of the magnetic moment of the electron
Two types of experimental evidence which arose in the 1920s suggested an additional property of the electron. One was the closely spaced splitting of the hydrogen spectral lines, called fine structure. The other was the Stern-Gerlach experiment which showed in 1922 that a beam of silver atoms directed through an inhomogeneous magnetic field would be forced into two beams. Both of these experimental situations were consistent with the possession of an intrinsic angular momentum and a magnetic moment by individual electrons. Classically this could occur if the electron were a spinning ball of charge, and this property was called "electron spin."
Quantization of angular momentum had already arisen for orbital angular momentum, and if this electron spin behaved the same way, an angular momentum quantum number s = 1/2 was required to give just two states. This intrinsic electron property
Bohr
All the planets that we know about spin, yes. Some spin faster or slower, or on a different axis, but they all spin.
The accretion spin do to the unbalanced force of gravity.
Spin causes electrons to exhibit magnetism.
IF you give it a spin when you throw it, then it continues to spin, because there is no torque acting on itto stop the spin.
Sampling Discritizes in time Quantization discritizes in amplitude
The ideal Quantization error is 2^N/Analog Voltage
one syllable LOL
There are two types of quantization .They are, 1. Truncation. 2.Round off.
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
quantisation noise decrease and quantization density remain same.
You get Jaggies
Vector quantization lowers the bit rate of the signal being quantized thus making it more bandwidth efficient than scalar quantization. But this however contributes to it's implementation complexity (computation and storage).
assigning discrete integer values to PAM sample inputs Encoding the sign and magnitude of a quantization interval as binary digits
assigning too few quantization intervals during sampling of the signal
reduces
In logarithmic quantization, one does not quantize the incoming signal but log of it to maintain signal to noise ratio over dynamic range. Dr Inayatullah Khan