The principle that the electric charge of an object must equal an integral multiple of a universal basic charge.
The various properties of electric charge :1.Additivity of charges2.Charge is conserved3.Quantization of charge
The conservation of charge law from Maxwell's equations states that the current through any enclosed surface is equal to the time rate of charge within the surface.
When a quantity is "quantized," it means that the quantity exists in discrete indivisible units. For example, the magnitude of electric charge is quantized, and the quantum of electric charge is the charge of the electron e. There is no known free particle with a charge of 1/2 e or 9.1254e, only particles with charges of 1e, 2e, 5e, 99e, 423425e, etc.There are numerous other quantities that can be quantized including angular momentum, energy, and even electrical conductance.
Coulumbs law F=k.Q1.Q2 / r^2 Q1= one test charge Q2= second test charge
The law of electric charges states that ...Like charges repel, or push awayOpposite charges attract, or come togetherWHY does it do that?Because Protons are positively charged and Electrons are negatively charged.They have opposite charges, and the Law of Electric Charges states:Without this attraction electrons couldn't be held in an atom.
The various properties of electric charge :1.Additivity of charges2.Charge is conserved3.Quantization of charge
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