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In logarithmic quantization, one does not quantize the incoming signal but log of it to maintain signal to noise ratio over dynamic range.

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Sampling frequency doubles then quantization noise?

quantisation noise decrease and quantization density remain same.


What is the effect of quantization on image?

You get Jaggies


What is the number of quantization?

Quantization refers to the process of constraining an input from a large set to output in a smaller set, often in the context of digital signal processing. The number of quantization levels determines how many discrete values a continuous signal can take, which directly impacts the resolution and accuracy of the representation. For example, in an 8-bit quantization, there are 256 (2^8) possible levels. The choice of quantization levels is crucial for balancing fidelity and data size.


What is the quantization interval of a 10 bit converter covering the range from 5 to -5 volts?

No. of quantization levels = 2^10 = 1024Voltage range = 10VQuantization interval = 10/1024 = 9.77 mV / level.


Why do you use logarithmic plot for the distribution in sieve analysis?

Logarithmic plots are used in sieve analysis to better visualize and interpret the distribution of particle sizes over a wide range. Since particle size distributions can span several orders of magnitude, a logarithmic scale compresses this range, making it easier to identify trends and patterns. Additionally, using a logarithmic plot allows for a clearer representation of smaller particles relative to larger ones, facilitating comparisons and analyses of different samples. This method enhances the understanding of how particle size affects properties like permeability and compaction.

Related Questions

What is the diff bet mid rise and mid thread quantization in signal systems?

A quantizer with output as zero when input is zero s mid tread while one which shows change/ transitition in level at input 0 is mid riser


What is quantization range?

Quantization range refers to the range of values that can be represented by a quantization process. In digital signal processing, quantization is the process of mapping input values to a discrete set of output values. The quantization range determines the precision and accuracy of the quantization process.


What are the three laws of logarithmic?

There is no subject to this question: "logarithmic" is an adjective but there is no noun (or noun phrase) to go with it. The answer will depend on logarithmic what? Logarithmic distribution, logarithmic transformation or what?


What are the types of quantization?

Quantization can be broadly categorized into two main types: uniform and non-uniform quantization. Uniform quantization divides the input range into equal-sized intervals, making it simple and efficient for certain applications. Non-uniform quantization, on the other hand, allocates varying interval sizes, often used in scenarios where certain ranges of input values are more significant, such as in audio compression. Additionally, there are techniques like scalar quantization and vector quantization, which refer to the quantization of individual signals versus groups of signals, respectively.


What is the difference between uniform quantization and non uniform quantization?

one syllable LOL


What is an ideal quantization error?

The ideal Quantization error is 2^N/Analog Voltage


What is the Different between sampling and quantization?

Sampling Discritizes in time Quantization discritizes in amplitude


What are the types of scalar quantization?

There are two types of quantization .They are, 1. Truncation. 2.Round off.


What is mid riser quantization?

Mid riser quantization is a type of quantization scheme used in analog-to-digital conversion where the input signal range is divided into equal intervals, with the quantization levels located at the midpoints of these intervals. This approach helps reduce quantization error by evenly distributing the error across the positive and negative parts of the signal range.


What is the relationship between quantisation noise and bandwidth in pcm systems?

Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.


Sampling frequency doubles then quantization noise?

quantisation noise decrease and quantization density remain same.


Is the decibel scale logarithmic?

Yes, the decibel scale is logarithmic.