Quantization (Basics, Working Principle, Waveforms, Quantization Error & Quantization Noise)

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Basics of Quantization are explained by the following outlines:

0. Basics of Quantization
1. Working Principle of Quantization
2. Waveforms of Quantization
3. Calculation of Quantization
4. Quantization Error
5. Quantization Noise
6. Parameters of Quantization

Chapter-wise detailed Syllabus of the Digital Communication Course is as follows:

Block Diagram of Digital communication system, Advantages, and disadvantages of digital communication system, Scrambling, Regenerative Repeater, Eye Diagram, Attention of signal, Bit rate and Baud rate.

Amplitude Shift Keying ASK, Frequency Shift Keying FSK, Phase Shift Keying PSK, Differential Phase Shift keying DPSK, Quadrature Phase Shift Keying QPSK, Binary Phase Shift Keying BPSK, M array Frequency Shift Keying MFSK, Quadrature Amplitude Modulation QAM, Comparison of QAM and PSK.

Sampling, Aliasing, Nyquist rate, Types of sampling, Performance comparison of sampling, PWM - Pulse width modulation, PPM - Pulse Position modulation, Performance comparison of PAM, PWM and PPM, Quantization and its parameters, SNR of Quantization, Uniform Quantization, Pulse Code Modulation PCM, Nonuniform Quantization, Companding basics, A law and Mu law for Nonuniform quantization, Differential Pulse Code Modulation DPCM, Delta Modulation DM, Adaptive Delta Modulation ADM.

Examples on TDM, Examples on T1 carrier system.

Basic of Line Coding Techniques, Pulse shaping techniques, NRZ, RZ & Manchester coding, PSD of NRZ unipolar line coding scheme, PSD of NRZ polar line coding scheme, PSD of NRZ bipolar line coding scheme, PSD of Manchester polar line coding scheme, Comparison of Unipolar, Polar, Bipolar and Manchester Line coding scheme.

Basics of Information, Basics of Entropy, Shannon Fano Encoding, Huffman Coding, Lempel Ziv Coding, Shannon Hartley theorem, basics of probability, Random variables, Cumulative distribution function CDF, Probability Density function PDF.

Block Codes, Hamming Codes, Linear Block Codes, Cyclic Codes, Convolutional Codes, Code Trellis, Viterbi Algorithm, Block Codes for single parity checks, Block Codes for product codes, Block Codes for Repetition codes, Cyclic codes for a systematic codeword, Cyclic codes for nonsystematic codeword.

Basics of Spread Spectrum Modulation, Frequency Hoping Spread Spectrum FHSS, Direct Sequence Spread Spectrum DSSS.

Engineering Funda channel is all about Engineering, Technology, and Science. This video is a part of Digital communication.

#Quantization #QuantizationNoise #DigitalCommunication @EngineeringFunda
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EngineeringFunda
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My friend, your explanation is absolutely wonderful. Over the years, I have heard Quantization explanations several times, but your the only one that truly resonates. Thank you

anwarshome
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I like ur lectures. With a lot of patience u explain. That really brings clarity in subjects. Thank u sir.

ahmadjaradat
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EngineeringFunda
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I just wanted to let you know that I found this video very useful and informative. I will be sure to watch more if I have any issues with any other topics you cover.

sycyla
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People who are giving negative comments seems to be very new to science and Mathematics.
Sir have explained concept in a very easy and clear manner.
I m not criticising commentors just suggesting read atleast basics.

ARPIT-gmlw
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Why is at 1 samples value, you’ve quantized it to 0.5 insteade of 1?

wambugugachugu
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Very useful and informative video .. regarding quantization my concepts are now cleared .. Thank you so much.

saminaalam
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why did you start from -1 to put quantized values? is it a law?

mohn
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Nice and clearly explained sir... Thank you

shamyashaik
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BEST VIDEO TILL NOW, , THANKS A LOT BRO

asseilalhlafi
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One more thing: to calculate intensity resolution you find the number of original possible intensities/range of possible intensity units and divide this by the quantization level (L).

thanismurugathas
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In an oscilloscope, what decides the xmax and xmin? The range of oscilloscope or peak of voltage?

Learnwithme.
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-0.75, -0.25, 0.25, 0.75 are your quantization voltages having values 00, 01, 10, 11. Not -1, -0.5, 0, 0.5 as shown in the video...

nilanjandutta
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I don't understand why you sample the t=2 value with +0, 5V, why not +1V?? It's clearly t=2 reaches the highest peak which means the voltage value equals to +1V. On t=6 you declare the value as -1V (lowest peak voltage), yeah I agree with that. But why it didn't work that way on t=2 ??? Please explain sir, I totally confuse on that part

jm-a
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I am in need of basically Quantization & network , vector Quantization in tamil videos

perumalma
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Why xq=0.5 for second sample i.e x=1 ??
It should be 1 right?

navaneethdesai