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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 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 Different between sampling and quantization?
Sampling Discritizes in time Quantization discritizes in amplitude
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 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 does companding involve?
Compressing a voice signal sample into segments prior to quantization and expanding it it its original size once transmitted Compressing larger signals more than smaller signals
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.
What is the effect of quantization on image?
You get Jaggies
What are advantages of vector quantization?
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).
